gyu assignment questions

Question 1

The number of standard deviations that a value x is from the mean is a(n) ____________.

a) z score
b) area
c) variance
d) exponential value

Answer 1

a) z score

Question 2

The price-to-earnings ratio for firms in a given industry is distributed according to the normal distribution. In this industry, a firm with a standard normal variable value of z = 1

a) has a below average price-to-earnings ratio.
b) may have an above average or below average price-to-earnings ratio.
c) has an above average price-to-earnings ratio.
d) has an average price-to-earnings ratio.

Answer 2

c) has an above average price-to-earnings ratio.

Question 3

A standard normal distribution has a mean of ____________ and standard deviation of ____________.

a) one, zero
b) zero, zero
c) zero, one
d) one, one

Answer 3

d) zero, one

Question 4

In order to approximate the binomial distribution using the normal distribution, the following condition(s) must be met if p is near 1.

a) n can be as small as np > 5.
b) n > 5
c) np > 5 only
d) n must be larger than just meeting the condition of np > 5.

Answer 4

d) n must be larger than just meeting the condition of np > 5.

Question 5

A property of continuous distributions is that

a) probabilities for continuous variables can be approximated using discrete random variables.
b) unlike discrete random variables, probabilities can be found using tables.
c) unlike discrete random variables, the probability that a continuous random variable equals a specific value is zero [P(X = x) = 0].
d) as with discrete random variables, the probability distribution can be approximated by a smooth curve.

Answer 5

c) unlike discrete random variables, the probability that a continuous random variable equals a specific value is zero [P(X = x) = 0].

Question 6

Values of the standard normal random variable are measured

a) in squared units in which the mean is measured.
b) None of the choices is correct.

c) in the number of standard deviations from the mean.
with reference to specific units.

d) in the units in which the mean is measured.

Answer 6

b) None of the choices is correct.

Question 7

According to data from the state blood program, 40 percent of all individuals have group A blood. Suppose that of six randomly selected individuals, three have group A blood. Would you believe the data from the state blood program?

a) Yes, probability is > .05.
b) Yes, probability is < .05.
c) No

Answer 7

a) Yes, probability is > .05.

Question 8

One die is thrown. What is the expected value of the number of dots on the top face of the die?

a) 3.5
b) 3.0
c) 1.0
d) 4.0

Answer 8

a) 3.5

the expected value is the mean of random variable

A quantity equal to the average result of an experiment after a large number of trials

1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6)

Question 9

Which of the following is a valid probability value for a discrete random variable?

a) −.7
b) .2
c) All of the choices are correct.
d) 1.01

Answer 9

b) .2

The probability of a discrete random variable can only be between 0 and +1.

Question 10

Which one of the following statements is not an assumption of the binomial distribution?

a) The experiment consists of n identical trials.

b) Each trial results in one of two mutually exclusive
outcomes.

c) Sampling is with replacement.
d) Trials are independent of each other.
e) The probability of success remains constant from trial to trial.

Answer 10

c) Sampling is with replacement.

Question 11

Which of the following statements about the binomial distribution is not correct?

a) The probability of success remains constant from trial to trial.
b) Trials are independent of each other.
c) Each trial results in a success or failure.
d) The experiment consists of n identical trials.
e) The random variable of interest is continuous.

Answer 11

e) The random variable of interest is continuous.

Question 12

One die is thrown. What is the expected value of the number of dots on the top face of the die?

a) 3.5
b) 3.0
c) 1.0
d) 4.0

Answer 12

a) 3.5

expected value bhaye

1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6)

Question 13

Which of the following is not a discrete random variable?

a) the number of defects in a sample selected from a population of 100 products
b) the number of criminals found in a five-mile radius of a neighborhood
c) the number of times a light changes red in a 10-minute cycle
d) the number of minutes required to run 1 mile

Answer 13

d) the number of minutes required to run 1 mile

Question 14

If p = .5 and n = 4, then the corresponding binomial distribution is ____________.

a) right skewed
b) symmetric
c) left skewed
d) bimodal

Answer 14

b) symmetric

cause p = 0.5

q is also = 0.5

Question 15

When p = .5, the binomial distribution will _________ be symmetric.

a) never
b) always
c) sometimes

Answer 15

b) always

Question 16

If p = .1 and n = 5, then the corresponding binomial distribution is ____________.

a) right skewed
b) left skewed
c) symmetric
d) bimodal

Answer 16

a) right skewed

the closer the p is to 0, the more right skewed the binomial distribution is

if p is closer to 1, it is going to be left skewed

Question 17

he binomial distribution is characterized by situations that are analogous to

a) drawing balls from an urn.
b) measuring the length of an item.
c) coin tossing.
d) counting defects on an item.

Answer 17

c) coin tossing

Binomial distributions assume a constant probability of success

Question 18

A total of 50 raffle tickets are sold for a contest to win a car. If you purchase one ticket, what are your odds against winning?

a) 49 to 1
b) 50 to 1
c) 01
d) 05

Answer 18

a) 49 to 1

Probability of losing = 1 − probability of winning = 1 − 1/50 = 49/50.

Question 19

The set of all possible outcomes for an experiment is called a(n) ____________.

a) event
b) probability
c) experiment
d) sample space

Answer 19

d) sample space

Question 20

The probability model describing an experiment consists of

a) independent events.
b) sample space.
c) sample space and probabilities of the sample space outcomes.

d) probabilities of the sample space outcomes.
random variables.

e) random variables

Answer 20

c) sample space and probabilities of the sample space outcomes.

Question 21

Consider a standard deck of 52 playing cards, a randomly selected card from the deck, and the following events: R = red, B = black, A = ace, N = nine, D = diamond, and C = club.
Are A and N mutually exclusive?

a) No, not mutually exclusive.
b) Yes, mutually exclusive.

Answer 21

b) Yes, mutually exclusive.

Question 22

Determine whether these two events are mutually exclusive: voter who favors gun control and an unregistered voter.

a) not mutually exclusive
b) mutually exclusive

Answer 22

b) mutually exclusive

Question 23

Consider a standard deck of 52 playing cards, a randomly selected card from the deck, and the following events: R = red, B = black, A = ace, N = nine, D = diamond, and C = club.
Are N and C mutually exclusive?

a) Yes, mutually exclusive.
b) No, not mutually exclusive.

Answer 23

b) No, not mutually exclusive.

Question 24

A(n) _______________ probability is a probability assessment that is based on experience, intuitive judgment, or expertise.

a) objective
b) relative frequency
c) subjective
d) experimental

Answer 24

c) subjective

Question 25

The _____________ of an event is a number that measures the likelihood that an event will occur when an experiment is carried out. a) probability b) outcome c) observation d) intersection

Answer 25

a) probability

Question 26

Determine whether these two events are mutually exclusive: consumer with an unlisted phone number and a consumer who does not drive. a) not mutually exclusive b) mutually exclusive

Answer 26

a) not mutually exclusive

Question 27

What is the probability of rolling a value higher than eight with a pair of fair dice? a) 18/36 b) 10/36 c) 12/36 d) 8/36 e) 6/36

Answer 27

b) 10/36 Set up sample spaces: 36 total 10 have combination adding to more than 8

Question 28

if two events are independent, we can _____________ their probabilities to determine the intersection probability. a) multiply b) add c) divide d) subtract

Answer 28

a) multiply

Question 29

Consider a standard deck of 52 playing cards, a randomly selected card from the deck, and the following events: R = red, B = black, A = ace, N = nine, D = diamond, and C = club. Are R and A mutually exclusive? a) No, not mutually exclusive. b) Yes, mutually exclusive.

Answer 29

a) No, not mutually exclusive.

Question 30

Consider a standard deck of 52 playing cards, a randomly selected card from the deck, and the following events: R = red, B = black, A = ace, N = nine, D = diamond, and C = club. Are R and C mutually exclusive? a) No, not mutually exclusive. b) Yes, mutually exclusive.

Answer 30

b) Yes, mutually exclusive.

Question 31

A manager has just received the expense checks for six of her employees. She randomly distributes the checks to the six employees. What is the probability that exactly five of them will receive the correct checks (checks with the correct names)? a) 1/3 b) 1/6 c) 1/2 d) 1 e) 0

Answer 31

e) 0 If five have received the correct check, then it follows that the sixth employee will receive the correct check. Thus, the probability that exactly five will receive the correct check is 0

Question 32

The ___________ of two events A and B is the event that consists of the sample space outcomes belonging to both event A and event B. a) complement b) intersection c) union d) mutual exclusivity

Answer 32

b) intersection

Question 33

What is the probability of rolling a seven with a pair of fair dice? a) 8/36 b) 3/36 c) 6/36 d) 7/36 e) 1/36

Answer 33

c) 6/36 Set up sample spaces: 36 total 6 have combination adding to 6.

Question 34

how many outcomes in a fair dice sample space?

Answer 34

36 outcomes in the sample space

Question 35

Determine whether these two events are mutually exclusive: someone born in the United States and a US citizen. a) not mutually exclusive b) mutually exclusive

Answer 35

a) not mutually exclusive

Question 36

Determine whether these two events are mutually exclusive: unmarried person and a person with an employed spouse. a) mutually exclusive b) not mutually exclusive

Answer 36

a) mutually exclusive

Question 37

A coin is tossed 6 times. What is the probability that at least one head occurs? a) 5/6 b) 1/2 c) 63/64 d) 1/64 e) 1/36

Answer 37

b) 1/2

Question 38

A pair of dice is thrown. What is the probability that one of the faces is a 3, given that the sum of the two faces is 9? a) 1/3 b) 1/2 c) 1/36 d) 1/6 e) 1/4

Answer 38

b) 1/2 Set up sample spaces: 36 total 4 total to 9 2 of these have a three on the face Given that there are 4 choices and 2 have a three, the probability is ½.

Question 39

The __________ of event X consists of all sample space outcomes that do not correspond to the occurrence of event X. a) conditional probability b) independence c) dependence d) complement

Answer 39

d) complement

Question 40

A(n) ______________ is a collection of sample space outcomes. a) event b) set c) experiment d) probability

Answer 40

a) event

Question 41

A ___________________ is a measure of the chance that an uncertain event will occur. a) probability b) population c) sample space d) random experiment e) complement

Answer 41

a) probability

Question 42

A measurement located outside the upper limits of a box-and-whiskers display is ___________. a) within the lower limits b) always in the first quartile c) an outlier d) always the largest value in the data set

Answer 42

c) an outlier

Question 43

A quantity that measures the variation of a population or a sample relative to its mean is called the ____________. a) variance b) coefficient of variation c) standard deviation d) range e) interquartile range

Answer 43

c) standard deviation

Question 44

The average of the squared deviations of the individual population measurement from the population mean is the ___________. a) range b) mean c) median d) standard deviation e) variance

Answer 44

e) variance

Question 45

The point estimate of the _______________ is the positive square root of the sample variance. a) population standard deviation b) sample mean c) range d) sample standard variation e) median

Answer 45

d) sample standard variation

Question 46

Another name for the 50th percentile is the ___________. a) third quartile b) median c) mean d) mode e) first quartile

Answer 46

b) median

Question 47

A _____________ displays the frequency of each group with qualitative data and a _____________ displays the frequency of each group with quantitative data. a) histogram, stem-and-leaf display b) stem-and-leaf, pie chart c) scatter plot, bar chart d) bar chart, histogram

Answer 47

d) bar chart, histogram

Question 48

what displays the frequency of each group with qualitative data

Answer 48

bar chart

Question 49

what displays the frequency of each group with quantitative data

Answer 49

histogram

Question 50

A graphical portrayal of a quantitative data set that divides the data into classes and gives the frequency of each class is a(n) ___________. a) ogive plot b) dot plot c) histogram d) bar chart e) Pareto chart

Answer 50

c) histogram

Question 51

When grouping a large sample of measurements into classes, the ______________ is a better tool than the ___________. a) stem-and-leaf display, scatter plot b) box plot, histogram c) scatter plot, box plot d) histogram, stem-and-leaf display

Answer 51

d) histogram, stem-and-leaf display

Question 52

A histogram that tails out toward smaller values is ___________. a) skewed to the right b) skewed to the left c) a scatter plot d) normal

Answer 52

b) skewed to the left Smaller values are to the left of the center part of the graph, resulting in a tail to the left Thus, the graph is skewed to the left

Question 53

A flaw possessed by a population or sample unit is ___________. a) a defect b) always random c) the cause for extreme skewness to the right d) displayed by a dot plot

Answer 53

a) a defect By definition, a defect is a flaw in a population or sample element

Question 54

what is a defect

Answer 54

a flaw in a population or sample element

Question 55

The general term for a graphical display of categorical data made up of vertical or horizontal bars is called a(n) ___________. a) ogive plot b) pie chart c) Pareto chart d) bar chart

Answer 55

d) bar chart

Question 56

an ogive plot is based on what type of data?

Answer 56

based on quantitative data

Question 57

what is a specialized bar chart?

Answer 57

a Pareto chart is a specialized bar chart

Question 58

what is pie chart?

Answer 58

a pie chart is a circular graphical display

Question 59

An example of manipulating a graphical display to distort reality is ___________. a) making the bars in a histogram equal widths b) starting the axes at zero and stretching the axes c) stretching the axes d) starting the axes at zero

Answer 59

c) stretching the axes

Question 60

what is the appropriate method to do a graphical display?

Answer 60

Starting the axes at zero

Question 61

would it be okay to make a histogram of equal widths?

Answer 61

yeee boyyy

Question 62

As a general rule, when creating a stem-and-leaf display, there should be ______ stem values. a) between 1 and 100 b) between 5 and 20 c) no fewer than 20 d) between 3 and 10

Answer 62

b) between 5 and 20 By definition, there should be between 5 and 20 stems to enable a reasonable display of the shape of the distribution

Question 63

A Stem-and-leaf display is best used to ___________. a) display the shape of the distribution b) provide a point estimate of the central tendency of the data set c) provide a point estimate of the variability of the data set d) None of the other choices is correct

Answer 63

a) display the shape of the distribution It is more difficult to find central tendency and variability using a stem-and-leaf display It is easy to visualize the shape of the distribution using stem-and-leaf.

Question 64

what is best use to display the shape of the distribution?

Answer 64

Stem-and-leaf display

Question 65

The change in the daily price of a stock is what type of variable? a) ordinal b) qualitative c) random d) quantitative

Answer 65

d) quantitative Qualitative and ordinal have similar definitions random variables are all characteristics of a population element

Question 66

true or false Qualitative and ordinal have similar definitions

Answer 66

true

Question 67

A ratio variable has the following characteristic. a) inherently defined zero value b) meaningful order c) predictable d) categorical in nature

Answer 67

a) inherently defined zero value By definition, ratio variables are quantitative and have an absolute zero value

Question 68

if we collect data on the number of wins each team in the NFL had during the 2011-12 season, we have _____________ data. a) non-historical b) survey c) time series d) cross-sectional

Answer 68

d) cross-sectional A time series is a collection of data taken over time, while a cross-section is a collection of data taken at the same point in time.

Question 69

what is a time series?

Answer 69

a collection of data taken over time

Question 70

what is cross sectional data?

Answer 70

collection of data taken at the same point in time

Question 71

Which of the following is a quantitative variable? a) a person's gender b) whether a person has a charge account c) mileage of a car dI the manufacturer of a cell phone e) whether a person is a college graduate

Answer 71

c) mileage of a car A quantitative variable is measurable and noncategorical

Question 72

If we collect data on the number of wins the Dallas Cowboys earned each of the past 10 years, we have _____________ data. a) time series b) non-historical c) survey d) cross-sectional

Answer 72

a) time series A time series is a collection of data taken over time, while a cross-section is a collection of data taken at the same point in time

Question 73

Which of the following is a type of question used in survey research? a) rating b) dichotomous c) free response d) All of the other answers are correct

Answer 73

d) All of the other answers are correct All three of the listed question types can be used in survey design

Question 74

When the data being studied are gathered from a published source, this is referred to as a(n) _______________. a) observational data source b) existing data source c) cross-sectional data source d) experimental data source

Answer 74

b) existing data source

Question 75

what is an experimental data source?

Answer 75

collection of data where one is able to manipulate values

Question 76

in observational data source, can the one gathering the data control the factors or values?

Answer 76

nah boy

Question 77

can cross sectional data be considered as a data source? why or why not?

Answer 77

nah boy it is a way of analyzing or displaying the data that has been collected

Question 78

Methods for obtaining a sample are called a) probability sampling. b) sampling designs. c) random sampling. d) sample surveys.

Answer 78

b) sampling designs.

Question 79

are probability and random sampling methods of obtaining a sample?

Answer 79

nah boy

Question 80

___________ refers to describing the important aspects of a set of measurements. a) Cross-sectional analysis b) Time series analysis c) Runs plot d) Descriptive statistics

Answer 80

d) Descriptive statistics

Question 81

Which of the following is a categorical variable? a) daily sales in a store b) value of company stock c) air temperature d) whether a person has a traffic violation e) bank account balance

Answer 81

d) whether a person has a traffic violation

Question 82

a categorical variable is qualitative or quantitative?

Answer 82

qualitative

Question 83

A data set provides information about some group of individual _____________. a) measurements b) statistics c) elements d) variables

Answer 83

c) elements

Question 84

what do measurements do?

Answer 84

measurements assign values to a variable of an element

Question 85

what is statistics?

Answer 85

science of describing aspects of a set of measurements

Question 86

what are the characteristic elements of a population?

Answer 86

variables

Question 87

__________ consists of a set of concepts and techniques that are used to describe populations and samples. a) Random sampling b) Traditional statistics c) Data mining d) Time series analysis

Answer 87

b) Traditional statistics

Question 88

_____________ is the difference between a numerical description of the population and the corresponding descriptor of the sample. a) Non-observation error b) Non-response c) Observation error d) Sampling error

Answer 88

d) Sampling error Non-response, non-observation and observation error occur during the survey process Sampling error is a result of the survey process

Question 89

Data collected for a particular study are referred to as a data ____________. a) set b) variable c) measurement d) element

Answer 89

a) set

Question 90

what is an element

Answer 90

one unit of a population

Question 91

___________ sampling is where we know the chance that each element will be included in the sample, which allows us to make statistical inferences about the sample population. a) Judgment b) Voluntary c) Probability d) Convenience

Answer 91

c) Probability

Question 92

what type of sampling should definitely not be used to make valid statistical inferences about a population?

Answer 92

judgement sampling voluntary sampling convenience sampling