Removal (from previous batches) Flashcards

1
Q

In descriptive statistics, we study:

a. the description of decision making process
b. the methods for organizing, displaying, and describing data
c. how to describe the probability distribution
d. none of the above

A

b. the methods for organizing, displaying, and describing data

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2
Q

In inferential statistics, we study:

a. the methods to make decisions about population based on sample results
b. how to make decisions about mean, median, or mode
c. how a sample is obtained from a population
d. none of the above

A

a. the methods to make decisions about population based on sample results

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3
Q

You asked five of your classmates about their height. On the basis of this information, you stated that the average height of all students in your university or college is 67 inches. This is an example of:

a. descriptive statistics
b. inferential statistics
c. parameter
d. population

A

b. inferential statistics

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4
Q

In statistics, conducting a census means:

a. making decisions based on sample information
b. checking if a variable is qualitative or quantitative
c. collecting information from all members of the population
d. none of the above

A

c. collecting information from all members of the population

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5
Q

What presentation is/are appropriate for the distribution of children enrolled in the feeding program according to sex?

a. Tables
b. Pie chart
c. All of the above
d. None of the above

A

c. All of the above

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6
Q

For distribution of infants according to the number of illness episodes experienced during the calendar year, this presentation is appropriate.

a. Histogram
b. Frequency polygon
c. Vertical bar diagram
d. All of the above
e. None of the above

A

c. Vertical bar diagram

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7
Q

The definition of variance

a. A measure of how the individual data points behave around the mean.
b. The square of a standard deviation
c. A measure of spread
d. All of the above

A

d. All of the above

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8
Q

In this distribution, the points above the median will tend to be farther from the median in absolute value than points below the median.

a. Skewed to the right distribution
b. Normal distribution
c. Skewed to the left distribution
d. None of the above

A

a. Skewed to the right distribution

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9
Q

Each outcome in a sample space

a. Observation
b. sample space
c. element
d. none of the above

A

c. element

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10
Q

Determines the shape of the normal curve, except:

a. σ
b. α
c. µ
d. None of the above is an exception

A

b. α

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11
Q

Requires the computation of sampling interval:

a. Systematic sampling
b. Stratified random sampling
c. Cluster sampling
d. Simple random

A

a. Systematic sampling

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12
Q

In statistics, a representative sample is the sample that:

a. contains the characteristics of the population as closely as possible
b. represents the results of a sample exactly
c. contains all people living in an area
d. none of the above

A

a. contains the characteristics of the population as closely as possible

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13
Q

The measurement of this descriptive statistic is very sensitive to extreme values.

a) Mean
b) Median
c) Mode
d) None of the above

A

a) Mean

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14
Q

The rationale of this measure is to ensure an equal number of sample points on both sides of the central location.

a) Mean
b) Median
c) Mode
d) All of the above

A

d) All of the above

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15
Q

The most frequently occurring value among all the observations in a sample

a) Frequency polygon
b) Mode
c) Standard deviation
d) None of the above

A

b) Mode

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16
Q

Definition of mean:

a) Summation of all values of sample points divided by the sample size
b) May have exactly the same sample points on both sides of the mean
c) A measure of central location
d) All of the above
e) None of the above

A

d) All of the above

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17
Q

Large data sets are best describe using this/these:

a) Measure of spread
b) Measure of central tendency
c) Tabular presentation
d) All of the above
e) None of the above

A

d) All of the above

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18
Q

For which set of data will the mean, the median, and the mode all be equal?

a) 1, 2, 5, 5, 7
b) 1, 1, 1, 2, 5
c) 1, 2, 5, 5, 8, 9
d) 1, 1, 1, 2
e) None of the above

A

c) 1, 2, 5, 5, 8, 9

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19
Q

Consider this set of data: 5, 5, 6, 7, 7. Which statement is true?

a) mean = mode
b) median = mode
c) mean = median
d) mean < median
e) None of the above

A

c) mean = median

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20
Q

What measurement of centrality can be used for a qualitative variable?

a) Mean
b) Median
c) Mode
d) None of the above

A

c) Mode

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21
Q

If the heights of a group of students are 180 cm, 173 cm, 170 cm, 185 cm and 162 cm, what is the mean height for this group?

a) 179 cm
b) 173 cm
c) 174 cm
d) 175 cm

A

c) 174 cm

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22
Q

The difference between the highest observed value and the lowest observed value:

a) Standard deviation
b) Mean
c) Range
d) Median
e) None of the above

A

c) Range

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23
Q

This statement is true of horizontal bar diagram

a) This is used for qualitative variables with less than 6 categories
b) The magnitude for comparison is represented as bars whose lengths are proportionate to the values.
c) This is used of discrete quantitative variables
d) None of the above

A

b) The magnitude for comparison is represented as bars whose lengths are proportionate to the values.

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24
Q

Which of the following is/are true of the principles of tabulation.

a) The tables should be simple. Two or three tables is better than one table with many variables
b) Each row and column should be labeled properly with specific units or measures for the data
c) The title should answer the questions what? How? Where? And when?
d) Totals should be shown
e) All of the above

A

e) All of the above

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25
Q

If a sample space contains a finite number of possibilities or an unending sequence with as many elements as there are whole numbers, it is called a:

a) discrete sample space
b) continuous sample space
c) Random variable
d) Sample space
e) None of the above

A

b) continuous sample space

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26
Q

If a sample space contains an infinite number of possibilities equal to the number of points on a line segment, it is called a:

A

a) discrete sample space

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27
Q

Section D first year medicine class had a standard deviation of 2.4 on anatomy first semester grade, while Section M first year medicine class had a standard deviation of 1.2 on the same subject grade. What can be said about these two classes?

A

Section M first year medicine class is less heterogeneous than Section D first year medicine class

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28
Q

A distribution of 6 scores has a median of 21. If the highest score increases 3 points, the median will become ___________.

A

21

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29
Q

If you are told a population has a mean of 25 and a variance of 0, what must you conclude?

A

d) All the elements in the population are 25

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30
Q

In a set of 10 scores the value 2 occurs three times, the value 4 occurs twice, 6 occurs twice, and 7 occurs three times. What is the mean of the scores?

A

d) (32 + 24 + 26 + 37)/1

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31
Q

The probability of currently having the disease regardless of the duration of time one has had the disease.

A

b. Prevalence

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32
Q

If two events A and B cannot both happen at the same time, which statement true

A

a. Events A and B are mutually exclusive

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33
Q

A set of all possible outcome:

A

d. Sample space

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34
Q

Let A be the event that a person has normotensive diastolic blood-pressure (DBP) readings (i.e. DBP < 90), and let B be the event that a person has borderline DBP readings (i.e. DBP  90 and < 95). Suppose that P(A) = .7, and P(B)=.1. Let C be the event that a person has DBP < 95. Find C.

A

d. 0.8

35
Q

Suppose that a group of 100 males aged 60 – 64 received a new vaccines in 1986 and that 5 out of them died within the next year. How likely are at least 5 out of 100 6064-year-old males who received a flu vaccine to die in the next year?

A

e. None of the above

36
Q

This/These value/s determine/s the position of the normal curve:

A

a. u

37
Q

The 90th percentile is the value of the systolic blood pressure level, which 90% of non-hypertensive men have systolic blood pressure levels equal to or lower than this value in the normal curve. This means that to the right of this value belongs to 10% of the distribution

A

c. True

38
Q

This distribution is widely used because of its capacity to approximate other probabilities.

A

c. Normal probability distribution

39
Q

Basta may neutrophil:

A

1

40
Q

The average zinc concentration recovered from a sample of zinc measurements in 36 different locations was found to be 2.6 grams per milliliter. What is the point estimate of the zinc concentration in the river? Assume that the population standard deviation is 0.3.

A

a. 2.6

41
Q

Suppose z is regarded as a standard normal distribution. What is Pr (z<0.5)?

A

c. 0.6915

42
Q

Numerical or categorical data

A

Observation

43
Q

Subset of a sample space:

A

Event

44
Q

In a room, 7 have hypertension, 5 with diabetes mellitus and 5 with anemia. If you make a random selection of these individuals, find the probability of selecting hypertensives:

A

d. 7/17

45
Q

Find the probability of selecting those with diabetes

A

b. 5/17

46
Q

Find the probability of selecting those with diabetes or anemia.

A

d. 10/17

47
Q

Percentage of people with the disease who are detected by the tes

A

Sensitivity

48
Q

Percentage of people with the disease who are not detected by the test.

A

b. % False Negative

49
Q

Percentage of people without the disease who are incorrectly labeled by the test as having disease:

A

a. % False Positive

50
Q

Penalty from missing presence of Human Immune-deficiency Virus (HIV) in the blood is high. Thus, it is required that the test use for screening should be:

A

Highly sensitive

51
Q

The disease is such that it brings great emotional strain, costly to treat and side-effects of the drug of choice can be undesirable. Thus, one need a __________ to ensure that the diagnosis is unmistakably correct:

A

a. Highly specific

52
Q

The Hemoglobin level of household heads in Calinan, Davao City has a mean of 12.63 gm% and standard deviation of 2.45 gm%. The cut-off point used is 7 gm%: Compute for the z.

A

b. 2.29

53
Q

Representation of sub-groups are ensured:

A

b. Stratified random sampling

54
Q

If you were to conduct a research in a slum community. Houses are not listed. The best sampling would be:

A

a. Systematic sampling

55
Q

It assumes the equality of the members of the population to be selected:

A

d. Simple random

56
Q

Requires the computation of sampling interval:

A

a. Systematic sampling

57
Q

In a sample of 30 households from a population of 500, compute for the sampling interval, k.

A

c. 16.6

58
Q

When data are collected in a statistical study for only a portion or subset of all elements of interest we are using:

A

a. a sample

59
Q

You asked five of your classmates about their height. On the basis of this information, you stated that the average height of all students in your university or college is 67 inches. This is an example of:

A

b. inferential statistics

60
Q

In statistics, conducting a census means:

A

collecting information from all members of the population

61
Q

The sensitivity of the screening test is the probability that the symptom is present given that the person has the disease. Compute the sensitivity of the test

A

99.99%

62
Q

The specificity of the test is the probability that the symptom is not present given that the person does not have the disease.

A

a. 99.99%

63
Q

A random sample of 100 recorded deaths in the United States showed an average life span of 71.8 years. Assuming a population standard deviation of 8.9 years, does this seem to indicate that the average life span today is greater than 70 years? Use a level of significance.

What is the null hypothesis

A

c. The average lifespan is 70 years

64
Q

What is the alternative hypothesis?

A

d. The average lifespan is greater than 70 years

65
Q

What is the level of significance

A

a. 1.64

66
Q

What is the test statistic

A

b. z-test for 1 mean

67
Q

What is your statistical decision

A

a. Reject the null hypothesis

68
Q

What is your conclusion

A

d. The average lifespan is greater than 70 years

69
Q

What is the null hypothesis?

A

c. The mean bleeding time of the 2 groups is the same

70
Q

What is your alternative hypothesis?

A

b. The mean bleeding time of the two groups differ

71
Q

What is the level of significance?

A

b. 1.96

72
Q

What is the test statistics?

A

b. z-test for 2 means

73
Q

What is the null hypothesis?

A

The average lifespan of the mice is increase by 8 month

74
Q

What is the alternative hypothesis?

a. The average lifespan is of the two groups is not the same
b. The average life span of mice is 8 months
c. The average life span of the two groups are the same
d. None of the above

A

d. None of the above

75
Q
  1. What is the appropriate test statistic?
    a. t-test for 2 means
    b. z-test for 2 means
    c. t-test for dependent samples
    d. None of the above
A

a. t-test for 2 means

76
Q

What is the null hypothesis?

a. The androgen level of the deer at baseline is the same as the androgen level 30 minutes after injection
b. The androgen level of the deer at baseline is not the same as the androgen level 30 minutes after injection
c. The androgen level is increased 30 minutes after the injection
d. None of the above

A

a. The androgen level of the deer at baseline is the same as the androgen level 30 minutes after injection

77
Q

What is the alternative hypothesis?

a. The androgen level of the deer at baseline is the same as the androgen level 30 minutes after injection
b. The androgen level of the deer at baseline is not the same as the androgen level 30 minutes after injection
c. The androgen level is increased 30 minutes after the injection
d. None of the above

A

b. The androgen level of the deer at baseline is not the same as the androgen level 30 minutes after injection

78
Q

What is the appropriate statistical test?

a. t-test for 1 sample mean
b. t-test for dependent samples
c. t-test for independent samples
d. None of the above

A

b. t-test for dependent samples

79
Q

s (Standard deviation)

a. Sample
b. Population

A

a. Sample

80
Q

p (proportion)

a. Sample
b. Population

A

a. Sample

81
Q

n

a. Sample
b. Population

A

a. Sample

82
Q

 u

a. Sample
b. Population

A

b. Population

83
Q

N

a. Sample
b. Population

A

b. Population

84
Q

Sampling interval (k)

a. Sample
b. Population

A

a. Sample