5. The student body in the high school considered in the last example may be broken down into ten categories as follows: 25% white male, 26% white female, 12% black male, 15% black female, 6% Hispanic male, 5% Hispanic female, 3% Asian male, 3% Asian female, 1% male of other minorities combined, and 4% female of other minorities combined. A student is randomly selected from this high school. Find the probabilities of the following events: the student is female and not black.* A. 0.38 B. 0.27 C. 0.12 D. 0.15

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5. The student body in the high school considered in the last example may be broken down into ten
categories as follows: 25% white male, 26% white female, 12% black male, 15% black female, 6%
Hispanic male, 5% Hispanic female, 3% Asian male, 3% Asian female, 1% male of other minorities
combined, and 4% female of other minorities combined. A student is randomly selected from this high
school. Find the probabilities of the following events: the student is female and not black.*
A. 0.38
B. 0.27
C. 0.12
D. 0.15
6. A teacher gave a statistics test to a class of Psychology students and computed the measures of
central tendency for the test scores. Which of the following statements cannot be an accurate
description of the scores?
A. The majority of students had scores above the median.
B. The majority of students had scores above the mode.
C. The majority of students had scores above the mean.
D. All of the above options (A, B and C) are false statements.
7. IQ tests are standardized so that the mean score is 100 for the entire group of people who take the
test. However, if you select a group of 50 who took the test, you probably would not get 100. What
statistical concept explains the difference between the two means?
A. Sampling error
B. Inferential error
C. Statistical error
D. Residual error
9. What is the mean for the following scores: 2, 5, 4, 1, 8? *
A. 5
В. З
C. 4.5
D. 4
10. If all possible samples of size n-30 are selected from a population with u-80 and o=10 and the
mean is computed for each sample, then what shape is expected for the distribution of sample
means?
A. The sample means tend to form a normal-shaped distribution only if the population distribution is
normal.
B. The mean of each sample will be very close to 80, hence the distribution of means will have little
variability.
C. The sample size of n-30 is too small to predict the shape of the distribution.
D. The sample means tend to form a normal-shaped distribution whether the population is normal or
not.
Transcribed Image Text:5. The student body in the high school considered in the last example may be broken down into ten categories as follows: 25% white male, 26% white female, 12% black male, 15% black female, 6% Hispanic male, 5% Hispanic female, 3% Asian male, 3% Asian female, 1% male of other minorities combined, and 4% female of other minorities combined. A student is randomly selected from this high school. Find the probabilities of the following events: the student is female and not black.* A. 0.38 B. 0.27 C. 0.12 D. 0.15 6. A teacher gave a statistics test to a class of Psychology students and computed the measures of central tendency for the test scores. Which of the following statements cannot be an accurate description of the scores? A. The majority of students had scores above the median. B. The majority of students had scores above the mode. C. The majority of students had scores above the mean. D. All of the above options (A, B and C) are false statements. 7. IQ tests are standardized so that the mean score is 100 for the entire group of people who take the test. However, if you select a group of 50 who took the test, you probably would not get 100. What statistical concept explains the difference between the two means? A. Sampling error B. Inferential error C. Statistical error D. Residual error 9. What is the mean for the following scores: 2, 5, 4, 1, 8? * A. 5 В. З C. 4.5 D. 4 10. If all possible samples of size n-30 are selected from a population with u-80 and o=10 and the mean is computed for each sample, then what shape is expected for the distribution of sample means? A. The sample means tend to form a normal-shaped distribution only if the population distribution is normal. B. The mean of each sample will be very close to 80, hence the distribution of means will have little variability. C. The sample size of n-30 is too small to predict the shape of the distribution. D. The sample means tend to form a normal-shaped distribution whether the population is normal or not.
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