QNT 275 Entire Course New Flashcards
QNT 275 Entire Course NEW Check this A+ tutorial guideline at http://www.assignmentcloud.com/qnt-275-new/qnt-275-entire-course-new For more classes visit www.assignmentcloud.com
QNT 275 Final Exam Guide (New, 2018) Updated NEW
QNT 275 Final Exam Guide NEW
QNT 275 Week 1 Individual Assignment Statistics in Business (2 Papers) NEW
QNT 275 Week 1 Practice Set NEW
QNT 275 Week 2 Assignment Mini-Project 3-2 (2 Sets) NEW
QNT 275 Week 2 Individual Assignment Business Problem NEW
QNT 275 Week 2 Practice Set NEW
QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers) NEW
QNT 275 Week 3 Individual Assignment Descriptive Statistics (Score 85%) NEW
QNT 275 Week 3 Practice Set NEW
QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) NEW
QNT 275 Week 4 Individual Assignment t-test I4 NEW
QNT 275 Week 4 Practice Set NEW
QNT 275 Week 4 Presentation (13 and 14) NEW
QNT 275 Week 5 Assignment Business Problem or Opportunity Presentation NEW
QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT) NEW
QNT 275 Week 5 Individual Assignment Final z-test (Set 2) NEW
QNT 275 Week 5 Individual Assignment Final z-test NEW
QNT 275 Week 5 Practice Set NEW
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QNT 275 Final Exam Guide (New, 2017) NEW Check this A+ tutorial guideline at http://www.assignmentcloud.com/qnt-275-new/qnt-275-final-exam-guide-new For more classes visit www.assignmentcloud.com
Chapter 01, Section 1.1, Problem 001
Select the two meanings of the word statistics.
Chapter 01, Section 1.3, Problem 008b
Indicate if the following variable is quantitative or qualitative.
The amount of rain last year in 30 cities is a ………………variable.
Chapter 01, Section 1.5, Problem 015
Select the correct explanation of the difference between a census and a sample survey.
Select each reason why conducting a sample survey is preferable to conducting a census.
Chapter 02, Testbank, Question 009-013
The following table gives the frequency distribution of opinions of 50 persons in regard to an issue.
Opinion f
In favor 23
Against 19
No opinion 8
The percentage of persons who have no opinion is:
The relative frequency, expressed to two decimal places, of the “Against” category is:
The sample size is:
The percentage of persons who are either against this issue or have no opinion is:
The percentage of persons who are either in favor of this issue or have no opinion is:
Chapter 03, Testbank, Question 008-010
The annual salaries of six employees of a company are as follows:
$22,000 $35,000 $22,000 $46,000 $57,000 $63,000
The mean salary of these employees is: $……..(rounded to 2 decimal places)
The median salary of these employees is:
The mode of the salaries of these employees is
Chapter 03, Testbank, Question 019
The value of the standard deviation of a data set is:
Chapter 03, Testbank, Question 047
According to the empirical rule, the percentage of values that fall within one standard deviation of the mean is approximately:
Chapter 03, Testbank, Question 091
Based on the box-and-whisker plot,
complete the table.
Minimum Q1 Median Q3 Maximum
Chapter 04, Supplementary Exercises, Problem 097a
A random sample of 300 college students was asked if college athletes should be paid. The following table gives a two-way classification of the responses.
Should Be Paid Should Not Be Paid
Student athlete 40 10
Student nonathlete 210 40
Round your answers to three decimal places.
If one student is randomly selected from these 300 students, find the probability that this student
i. is in favor of paying college athletes.
ii. favors paying college athletes given that the student selected is a nonathlete.
iii. is an athlete and favors paying student athletes.
iv. is a nonathlete or is against paying student athletes.
Chapter 04, Section 4.2, Additional Question 012
A sample of 820 adults showed that 85 of them had no credit cards, 146 had one card each, 52 had two cards each, 75 had three cards each, 59 had four cards each, and 403 had five or more cards each. Suppose one adult is randomly selected from these 820 adults. Find the probability that this adult has exactly three credit cards.
Round your answer to two decimal places. P(A)=
8th-ed Chapter 04, Section 4.1, Problem 013a
A box contains a certain number of computer parts, a few of which are defective. Two parts are selected at random from this box and inspected to determine if they are good or defective. Indicate whether the following is a simple or a compound event.
At least one part is good.
8th-ed Chapter 04, Section 4.2, Problem 020
Which of the following values cannot be probabilities of events?
0.41 23 -0.05 1.43 0.93 94 -14 0.02
Chapter 05, Testbank, Question 002
A discrete random variable is a random variable:
Chapter 05, Testbank, Question 032-033
The following table lists the probability distribution of a discrete random variable x:
x 0 1 2 3 4 5 6 7
P(x) 0.04 0.11 0.18 0.28 0.15 0.12 0.09 0.03
The mean of the random variable x is
The standard deviation of the random variable x, rounded to three decimal places, is
Chapter 06, Section 6.1, Problem 016c
Determine the following probability for the standard normal distribution.
Round your answer to four decimal places.
P(-1.84≤z≤0)=
Chapter 06, Section 6.2, Problem 020
Find the area between x=23 and x=25 under a normal distribution curve with μ=20 and σ=4.
Round your answer to four decimal places.
A=
Chapter 06, Section 6.2, Problem 024d
Let x be a continuous random variable that is normally distributed with a mean of 42 and a standard deviation of 16. Find the probability that x assumes a value less than 51.
Round your answer to four decimal places.
Chapter 07, Testbank, Question 006
The sampling error is:
Chapter 07, Testbank, Question 008
An error that occurs because of human mistakes is called:
Chapter 07, Testbank, Question 009
The mean age of all students at a university is 24 years. The mean age of a random sample of 100 students selected from this university is 23.6 years. The difference (23.6 - 24 = -0.4) is the:
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1 To make tests of hypotheses about more than two population means, we use the: t distribution normal distribution chi-square distribution analysis of variance distribution
2 You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
3 In a one-way ANOVA, we analyze only one: population mean variable sample
4 The regression model y = A + Bx + e is: an exact relationship a probabilistic model a nonlinear model a deterministic model
5 For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the: objective frequencies observed frequencies subjective frequencies expected frequencies
6 The mean of a discrete random variable is the mean of its: frequency distribution second and third quartiles percentage distribution probability distribution
7 A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is: greater than to $110,000 not equal to $110,000 equal to $110,000 less than to $110,000 8 Which of the following pairs of events are mutually exclusive? Female and no Female and yes Female and male No and yes 9 In a hypothesis test, a Type I error occurs when: a false null hypothesis is not rejected a true null hypothesis is rejected a true null hypothesis is not rejected a false null hypothesis is rejected
10 You toss a coin nine times and observe 3 heads and 6 tails. This event is a: multiple outcome simple event multinomial sample point compound event
11 The graph of a cumulative frequency distribution is a(n): stem-and-leaf display frequency histogram ogive line graph
12 What is the critical value of t for the hypothesis test? 2.441 2.449 2.733 2.738
13 An error that occurs because of chance is called: mean error probability error sampling error nonsampling error
14 A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is: equal to 30 minutes not equal to 30 minutes less than or equal to 30 minutes less than 30 minutes
15
A quantitative variable is the only type of variable that can:
have no intermediate values
be used to prepare tables
assume numeric values for which arithmetic operations make sense
be graphed
16
The p-value is the:
largest significance level at which the alternative hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
17 If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the: sampling distribution sample distribution sample mean sample proportion
18
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
19A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
skewed to the left
not normal
approximately normal
skewed to the right
20
Which of the following assumptions is not required to use ANOVA?
All samples are of the same size.
The samples drawn from different populations are random and independent.
The populations from which the samples are drawn are (approximately) normally distributed.
The populations from which the samples are drawn have the same variance.
21
The model y = A + Bx is a:
nonlinear model
stochastic model
probabilistic model
deterministic model
22
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
23
Two paired or matched samples would imply that:
data are collected on two variables from the elements of two independent samples
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on one variable from the elements of two independent samples
24
What is the critical value of z for the hypothesis test?
-2.05
-2.33
-2.17
-1.96
25
A qualitative variable is the only type of variable that:
can assume an uncountable set of values
cannot be measured numerically
cannot be graphed
can assume numerical values
26
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
parameter, where the claim is assumed to be true if the null hypothesis is declared false
27
For small degrees of freedom, the chi-square distribution is:
rectangular
skewed to the left
symmetric
skewed to the right
28
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
two or more population proportions
two or more population means
the mean of one population
29
For a one-tailed test, the p-value is:
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
30
The mean of a discrete random variable is its:
second quartile
box-and-whisker measure
upper hinge
expected value
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QNT 275 Week 1 Individual Assignment Statistics in Business (2 Papers) NEW
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Develop a 875-word response that addresses each of the following prompts:
§ Define statistics with citation and reference.
§ Contrast quantitative data and qualitative data. Use two Peer Reviewed references.
§ Evaluate tables and charts used to represent quantitative and qualitative data.
§ Describe the levels of data measurement.
§ Describe the role of statistics in business decision-making.
§ Provide at least two business research questions, or problem situations, in which statistics was used or could be used.
Use two peer reviewed references.
Format your assignment consistent with APA guidelines.
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QNT 275 Week 1 Practice Set NEW Check this A+ tutorial guideline at http://www.assignmentcloud.com/qnt-275-new/qnt-275-week-1-practice-set-new For more classes visit www.assignmentcloud.com
The following table lists the number of deaths by cause as reported by the Centers for Disease Control and Prevention on February 6, 2015:
Cause of Death Number of Deaths Heart disease 611,105 Cancer 584,881 Accidents 130,557 Stroke 128,978 Alzheimer’s disease 84,767 Diabetes 75,578 Influenza and Pneumonia 56,979 Suicide 41,149
What is the variable for this data set (use words)?
How many observations are in this data set (numeral)?
How many elements does this data set contain (numeral)?
Indicate which of the following variables are quantitative and which are qualitative.
Note: Spell quantitative and qualitative in lower case letters.
The amount of time a student spent studying for an exam
The amount of rain last year in 30 cities
The arrival status of an airline flight (early, on time, late, canceled) at an airport
A person’s blood type
The amount of gasoline put into a car at a gas station
A local gas station collected data from the day’s receipts, recording the gallons of gasoline each customer purchased. The following table lists the frequency distribution of the gallons of gas purchased by all customers on this one day at this gas station.
Gallons of Gas Number of Customers 4 to less than 8 78 8 to less than 12 49 12 to less than 16 81 16 to less than 20 117 20 to less than 24 13
How many customers were served on this day at this gas station? Find the class midpoints. Do all of the classes have the same width? If so, what is this width? If not, what are the different class widths? What percentage of the customers purchased between 4 and 12 gallons? (do not include % sign. Round numerical value to one decimal place)
The following data give the one-way commuting times (in minutes) from home to work for a random sample of 50 workers.
23 17 34 26 18 33 46 42 12 37
44 15 22 19 28 32 18 39 40 48
16 11 9 24 18 26 31 7 30 15
18 22 29 32 30 21 19 14 26 37
25 36 23 39 42 46 29 17 24 31
What is the frequency for each class 0–9, 10–19, 20–29, 30–39, and 40–49.
Calculate the relative frequency and percentage for each class.
What percentage of the workers in this sample commute for 30 minutes or more?
Note: Round relative frequency to two decimal places. Complete the table by calculating the frequency, relative frequency, and percentage.
Commuting Times
Frequency
(part a)
Relative Frequency (part c) Percentage (%) (part d) 0-9 ? 0.?? ? 10-19 ? 0.?? ? 20-29 ? 0.?? ? 30-39 ? 0.?? ? 40-49 ? 0.?? ?
The following data give the number of text messages sent on 40 randomly selected days during 2015 by a high school student. 32 33 33 34 35 36 37 37 37 37 38 39 40 41 41 42 42 42 43 44 44 45 45 45 47 47 47 47 47 48 48 49 50 50 51 52 53 54 59 61
Each stem has been displayed (left column). Complete this stem-and-leaf display for these data.
Note: Use a space in between each leaf. For example 1 2 3 4 5 6 7 8 9 (do not use this format 123456789).
3 ?…
4 ?…
5 ?…
6 ?…
6 A) Which of the five measures of center (the mean, the median, the trimmed mean, the weighted mean, and the mode) can be calculated for quantitative data only.
B) Which can be calculated for both quantitative and qualitative data?
Prices of cars have a distribution that is skewed to the right with outliers in the right tail. Which of the measures of center is the best to summarize this data set?
The following data give the amounts (in dollars) of electric bills for November 2015 for 12 randomly selected households selected from a small town. 205 265 176 314 243 192 297 357 238 281 342 259 Calculate the (a) mean, (b) median and (c) Is there a mode (Yes or No)?
The following data give the prices of seven textbooks randomly selected from a university bookstore.
$89 $170 $104 $113 $56 $161 $147
a) Find the mean for these data (input the numerical value without the dollar sign). Calculate the deviations of the data values from the mean.
b) Is the sum of these deviations zero (yes or no)?
c) Calculate the range (do not include unit).
d) Calculate the variance.
e) Calculate the standard deviation (round to one decimal place).
The following data give the speeds of 13 cars (in mph) measured by radar, traveling on I-84.
73 75 69 68 78 69 74
76 72 79 68 77 71
Find the values of the three quartiles and the interquartile range.
Calculate the (approximate) value of the 35th percentile (round to two decimal places).
Compute the percentile rank of 71 (round to two decimal places. Do not include the % symbol).
Note: Round to two decimal places. Do not include unit.
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QNT 275 Week 2 Assignment Mini-Project 3-2 NEW
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You are employed as a statistician for a company that makes household products, which are sold by part-time salespersons who work during their spare time. The company has four salespersons employed in a small town. Let us denote these salespersons by A, B, C, and D.
The sales records (in dollars) for the past 6 weeks for these four salespersons are shown in the table below.
Week A B C D 1 1774 2205 1330 1402 2 1808 1507 1295 1665 3 1890 2352 1502 1530 4 1932 1939 1104 1826 5 1855 2052 1189 1703 6 1726 1630 1441 1498 Your supervisor has asked you to prepare a brief report comparing the sales volumes and the consistency of sales of these four salespersons.
Use the mean sales for each salesperson to compare the sales volumes.
Choose an appropriate statistical measure to compare the consistency of sales.
Make the calculations and write a 700-word report comparing the sales volumes and the consistency of sales of these four salespersons.
Format your assignment consistent with APA guidelines.
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QNT 275 Week 2 Individual Assignment Business Problem NEW
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I2 (Week 2) Individual Assignment: Business Problem: Prepare a paper examining a business problem confronting your organization or an organization you know of that you feel could be addressed through the application of the business research process. Describe the problem. Then present the research purpose and one research question addressing an aspect of this problem. The question must contain the variable you will measure. Discuss the measured variable. Use the business research problem sample I2 as a guide. This paper should be between 300-600 words. Post to the individual assignment forum. Title the document file “Business Statistics Research Problem I2”.
Materials
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QNT 275 Week 2 Practice Set NEW Check this A+ tutorial guideline at http://www.assignmentcloud.com/qnt-275-new/qnt-275-week-2-practice-set-new For more classes visit www.assignmentcloud.com
List the simple events for each of the following statistical experiments in a sample space.
One roll of a die.
Note: Separate your response with a comma (,). For example 22, 23, 24
Three tosses of a coin.
Note: Use this notation for your answer. heads = H. tails = T. For example HT, TH
One toss of a coin and one roll of a die.
Note: Use this notation. Heads = H or numbers 1, 2, 3, 4, 5, 6 for the dice. For example
H1 indicates heads and dice roll equal to 1.
Two students are randomly selected from a statistics class, and it is observed whether or not they suffer from math anxiety. Indicate which are simple and which are compound events.
Both students suffer from math anxiety.
Exactly one student suffers from math anxiety.
The first student does not suffer and the second suffers from math anxiety.
None of the students suffers from math anxiety.
A hat contains 40 marbles. Of them, 18 are red and 22 are green. If one marble is randomly selected out of this hat.
What is the probability that this marble is red (round to two decimal places)?
What is the probability that this marble is green (round to two decimal places?
Two thousand randomly selected adults were asked whether or not they have ever shopped on the Internet. The following table gives a two-way classification of the responses.
Have Shopped Have Never Shopped
Male 500 700
Female 300 500
If one adult is selected at random from these 2000 adults, find the probability that this adult has never shopped on the Internet.
If one adult is selected at random from these 2000 adults, find the probability that this adult is a male.
If one adult is selected at random from these 2000 adults, find the probability that this adult has shopped on the Internet given that this adult is a female.
If one adult is selected at random from these 2000 adults, find the probability that this adult is a male given that this adult has never shopped on the Internet.
Find the joint probability of AAand BB for the following.
P(A)=.36and P(B|A)=.87
P(B)=.53and P(A|B)=.22
Classify each of the following random variables as discrete or continuous.
The time left on a parking meter
The number of bats broken by a major league baseball team in a season
The number of cars in a parking lot at a given time
The price of a car
The number of cars crossing a bridge on a given day
The time spent by a physician examining a patient
The number of books in a student’s bag
- The following table gives the probability distribution of a discrete random variable x.
x 0 1 2 3 4 5 6
P(x) .11 .19 .28 .15 .12 .09 .06
Find the following probabilities.
P(1≤x≤4)
Probability that xassumes a value less than 4.
Probability that xassumes a value greater than 2.
A limousine has eight tires on it. A fleet of such limos was fit with a batch of tires that mistakenly passed quality testing. The following table lists the probability distribution of the number of defective tires on this fleet of limos where xxrepresents the number of defective tires on a limo and P(x) is the corresponding probability.
x 0 1 2 3 4 5 6 7 8
P(x) .0454 .1723 .2838 .2669 .1569 .0585 .0139 .0015 .0008
Calculate the mean and standard deviation of this probability distribution. Give a brief interpretation of the values of the mean and standard deviation.
Let xxbe a discrete random variable that possesses a binomial distribution. Using the binomial formula, find the following probabilities.
p(5) for n=8and p=.70
p(3) for n=4and p=.40
Verify your answers by using Table I of Appendix B.
Let xbe a discrete random variable that possesses a binomial distribution.
What is the mean (round to three decimal places)
What is the standard deviation of the probability distribution (round to three decimal places)?
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QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers) NEW
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CLO Business Decision-Making Project Part 1
Identify a business problem or opportunity at a company where you work or with which you’re familiar. This will be a business problem that you use for the individual assignments in Weeks 3-5. It should be a problem/opportunity for which gathering and analyzing some type of data would help you understand the problem/opportunity better.
Identify a research variable within the problem/opportunity that could be measured with some type of data collection.
Consider methods for collecting a suitable sample of either qualitative or quantitative data for the variable.
Consider how you will know if the data collection method would be valid and reliable.
Develop a 1,050-word analysis to describe a company, problem, and variable.
Include the following in your submission:
• Identify the name and description of the selected company,
• Describe the problem at that company,
• Identify one research variable from that problem,
• Describe the methods you would use for collecting a suitable sample of either qualitative or quantitative data for the variable (Note: do not actually collect any data)
• Analyze how you will know if the data collection method would generate valid and reliable data (Note: do not actually collect any data)
Format your assignment consistent with APA guidelines.
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QNT 275 Week 3 Individual Assignment Descriptive Statistics (Score 85%) NEW
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Individual Assignment: Descriptive Statistics:
Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA’s of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities, counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 10 in each set, but not more than 20. Prepare a paper describing the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric. Conclude. Use the sample I3 Descriptive Statistics as a guide. This paper should be between 700-1000 words. Post as an Individual Assignment. Title the document file “Descriptive Statistics I3”.
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Let x be a continuous random variable. What is the probability that x assumes a single value, such as a (use numerical value)?
The following are the three main characteristics of a normal distribution.
The total area under a normal curve equals _____.
A normal curve is ___________ about the Consequently, 50% of the total area under a normal distribution curve lies on the left side of the mean, and 50% lies on the right side of the mean.
Fill in the blank. The tails of a normal distribution curve extend indefinitely in both directions without touching or crossing the horizontal Although a normal curve never meets the ________ axis, beyond the points represented by µ – 3σto µ+ 3σ it becomes so close to this axis that the area under the curve beyond these points in both directions is very close to zero.
For the standard normal distribution, find the area within one standard deviation of the
mean that is, the area between μ − σ and μ + σ. Round to four decimal places.
Find the area under the standard normal curve. Round to four decimal places. between z = 0 and z = 1.95 between z = 0 and z = −2.05 between z = 1.15 and z = 2.37 from z = −1.53 to z = −2.88 from z = −1.67 to z = 2.24
The probability distribution of the population data is called the (1) Table 7.2 in the text provides an example of it. The probability distribution of a sample statistic is called its (2) \_\_\_\_\_\_\_\_\_. Table 7.5 in the text provides an example it. Probability distribution Population distribution Normal distribution Sampling distribution
___________ is the difference between the value of the sample statistic and the value of the corresponding population parameter, assuming that the sample is random and no non-sampling error has been made. Example 7–1 in the text displays sampling error. Sampling error occurs only in sample surveys.
Consider the following population of 10 numbers. 20 25 13 19 9 15 11 7 17 30
Find the population mean. Round to two decimal places.
Rich selected one sample of nine numbers from this population. The sample included the numbers 20, 25, 13, 9, 15, 11, 7, 17, and 30. Calculate sampling error for this sample. Round to decimal places.
Fill in the blank. The F distribution is ________ and skewed to the right. The F distribution has two numbers of degrees of freedom: df for the numerator and df for the denominator. The units of an F distribution, denoted by F, are nonnegative.
Find the critical value of F for the following. Round to two decimal places.
df = (3, 3) and area in the right tail = .05
df = (3, 10) and area in the right tail = .05
df = (3, 30) and area in the right tail = .05
The following ANOVA table, based on information obtained for three samples selected from three independent populations that are normally distributed with equal variances, has a few missing values. Source of Variation Degrees of Freedom Sum of Squares Mean Square Value of the Test Statistic Between 2 II 19.2813 Within 89.3677 III F = \_\_\_V\_\_ = VII VI Total 12 IV
Find the missing values and complete the ANOVA table. Round to four decimal places.
Using α = .01, what is your conclusion for the test with the null hypothesis that the means of the three populations are all equal against the alternative hypothesis that the means of the three populations are not all equal?
Reject H0. Conclude that the means of the three populations are equal.
Reject H0. Conclude that the means of the three populations are not equal.
Do not reject H0. Conclude that the means of the three populations are equal.
Do not reject H0. Conclude that the means are of the three populations are not equal.
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QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) NEW
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CLO Business Decision Making Project, Part 2
Use the same business problem/opportunity and research variable you wrote about in Week 3.
Remember: do not actually collect any data; think hypothetically.
Develop a 1,050-word report in which you:
• Identify the types of descriptive statistics that might be best for summarizing the data, if you were to collect a sample.
• Analyze the types of inferential statistics that might be best for analyzing the data, if you were to collect a sample.
• Analyze the role probability or trend analysis might play in helping address the business problem.
• Analyze the role that linear regression for trend analysis might play in helping address the business problem.
• Analyze the role that a time series might play in helping address the business problem.
Format your assignment consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
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QNT 275 Week 4 Individual Assignment t-test I4 NEW
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Individual Assignment: t-test I4: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Any subject may be chosen. Some examples: Sales from two different months or years. GPA’s of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities, counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 10 in each set, but not more than 29. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric.
t-test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, OK. Conclude. Use the I4 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file “t-test I4”.
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QNT 275 Week 4 Practice Set NEW Check this A+ tutorial guideline at http://www.assignmentcloud.com/qnt-275-new/qnt-275-week-4-practice-set-new For more classes visit www.assignmentcloud.com
Find z for each of the following confidence levels. Round to two decimal places.
90%
95%
96%
97%
98%
99%
For a data set obtained from a random sample, n = 81 and x = 48.25. It is known
that σ = 4.8.
What is the point estimate of μ? Round to two decimal places
Make a 95% confidence interval for μ. What is the lower limit? Round to two decimal places.
Make a 95% confidence interval for μ. What is the upper limit? Round to two decimal places.
What is the margin of error of estimate for part b? Round to two decimal places.
Determine the sample size (nfor the estimate of μ for the following.
E = 2.3, σ = 15.40, confidence level = 99%. Round to the nearest whole number.
E = 4.1, σ = 23.45, confidence level = 95%. Round to the nearest whole number.
E = 25.9, σ = 122.25, confidence level = 90%. Round to the nearest whole number.
True or False.
a.The null hypothesis is a claim about a population parameter that is assumed to be false until it is declared false.
True
False
An alternative hypothesis is a claim about a population parameter that will be true if the null hypothesis is false.
True
False
The critical point(s) divide(s) is some of the area under a distribution curve into rejection and nonrejection regions.
True
False
The significance level, denoted by α, is the probability of making a Type II error, that is, the probability of rejecting the null hypothesis when it is actually true.
True
False
The nonrejection region is the area to the right or left of the critical point where the null hypothesis is not rejected.
True
False
You are given the null hypothesis. Select the correct alternative hypothesis.
H0: μ = 5 hours, what is H1?
left-tailed test
right-tailed test
two-tail test
H0: μ = $105, what is H1?
left-tailed test
right-tailed test
two-tail test
H0: μ = $47,000, what is H1? left-tailed test right-tailed test two-tail test H0: μ = 10 minutes, what is H1? left-tailed test right-tailed test two-tail test
H0: μ = 30 hours, what is H1?
left-tailed test
right-tailed test
two-tail test
Fill in the blank. The level of significance in a test of hypothesis is the probability of making a ________. It is the area under the probability distribution curve where we reject H0.
Type I error
Type II error
Type III error
Consider H0: μ = 45 versus H1: μ < 45. A random sample of 25 observations produced a sample mean of 41.8. Using α = .025 and the population is known to be normally distributed with σ = 6.
What is the value of z? Round to two decimal places.
Would you reject the null hypothesis?
Reject Ho
Do not reject Ho
The following information is obtained from two independent samples selected from two normally distributed populations.
n1 = 18 x1 = 7.82 σ1 = 2.35
n2 =15 x2 =5.99 σ2 =3.17
What is the point estimate of μ1 − μ2? Round to two decimal places.
Construct a 99% confidence interval for μ1 − μ2. Find the margin of error for this estimate.
Round to two decimal places.
The following information is obtained from two independent samples selected from two
populations.
n1 =650 x1 =1.05 σ1 =5.22
n2 =675 x2 =1.54 σ2 =6.80
Test at a 5% significance level if μ1 is less than μ2.
Identify the appropriate distribution to use.
t distribution
normal distribution
What is the conclusion about the hypothesis?
Reject Ho
Do not reject Ho
Using data from the U.S. Census Bureau and other sources, www.nerdwallet.com estimated that considering only the households with credit card debts, the average credit card debt for U.S. house- holds was $15,523 in 2014 and $15,242 in 2013. Suppose that these estimates were based on random samples of 600 households with credit card debts in 2014 and 700 households with credit card debts in 2013. Suppose that the sample standard deviations for these two samples were $3870 and $3764, respectively. Assume that the standard deviations for the two populations are unknown but equal.
Let μ1 and μ2 be the average credit card debts for all such households for the years 2014 and 2013, respectively. What is the point estimate of μ1 − μ2? Round to two decimal places. Do not include the dollar sign.
Construct a 98% confidence interval for μ1 − μ2. Round to two decimal places. Do not include the dollar sign.
What is the lower bound? Round to two decimal places.
What is the upper bound? Round to two decimal places.
Using a 1% significance level, can you conclude that the average credit card debt for such households was higher in 2014 than in 2013? Use both the p-value and the critical-value approaches to make this test.
Reject Ho
Do not reject Ho
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QNT 275 Week 4 Presentation (13 and 14) NEW
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Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described 13 and 14
Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the Speaker Notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references.
Draw on material you developed in the 13 Research Problem and 14 Research Problem
Include the following in your presentation:
• Introduction slide
• Agenda slide
• Describe the organization, with a brief description
• Explain the business problem or opportunity
• Analyze why the business problem is important
• Identify what variable would be best to measure for this problem and explain why
• Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability) and explain why
• Apply a possible solution to the problem/opportunity, with rationale
• Evaluate how data could be used to measure the implementation of such a solution
• Conclusion
• References slide (if any source material is quoted or paraphrased throughout the presentation)
Format your assignment consistent with APA guidelines.
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