AnswersAlgebra IIStatistics and Probability

Practice Test Answers

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1
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How might the graph be misleading?

A
The scale on the y -axis overemphasizes the difference in salaries between different experience levels.
B
The scale on the x -axis overemphasizes the difference in salaries between different experience levels.
C
The scale on the x -axis underemphasizes the difference in salaries between different experience levels.
D
The scale on the y -axis underemphasizes the difference in salaries between different experience levels.
2
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The distribution of the values of a population is shown in the graph, and a simple random sample is drawn from the population. Based on this information alone, can the sample be used to make inferences about the population?

A
No, because the population values appear to be normally distributed.
B
No, because the population values do not appear to be normally distributed.
C
Yes, because the population values appear to be normally distributed.
D
Yes, because the population values do not appear to be normally distributed.
3

A utility company hires pollsters to knock on random doors in different parts of town to survey residents about the cost of their electric bill. Would this study be biased? Why or why not?

A
Yes, it is biased. Only certain parts of the town were surveyed.
B
No, it is not biased. All residents who are surveyed will want to respond.
C
No, it is not biased. All residents of the town will have the opportunity to respond.
D
Yes, it is biased. Some of the residents who are surveyed may not want to respond to someone who knocks at their door.
4

Weston completed a hypothesis test and found that he could not reject the null hypothesis. Which of the following is a valid reason for his conclusion?

A
The z -statistic lies in the critical region.
B
The z -statistic is greater than 0 .
C
The z -statistic is less than 0 .
D
The z -statistic lies outside the critical region.
7

Opal is collecting data on water levels in different parts of town. She notices that her sample data has a low-value outlier. Which statement must be true?

A
Removing the outlier will not change the spread of the graph of the data set.
B
Removing the outlier will decrease the spread of the graph of the data set.
C
Removing the outlier will increase the variance of the data set.
D
Removing the outlier will not change the variance of the data set.
8

Laila guesses on all 20 questions of a multiple-choice test. Each question has 4 answer choices. What is the probability of a success and a failure for this experiment?

A
cap p times success is equal to 1 ; cap p times failure is equal to 0
B
cap p times success is equal to 3 fourths ; cap p times failure is equal to 1 fourth
C
cap p times success is equal to 1 fourth ; cap p times failure is equal to 3 fourths
D
cap p times success is equal to 1 fourth ; cap p times failure is equal to 1 half
9

A utility company hires pollsters to knock on random doors in different parts of town to survey residents about the cost of their electric bill. Would this study be biased? Why or why not?

A
No, it is not biased. All residents of the town will have the opportunity to respond.
B
No, it is not biased. All residents who are surveyed will want to respond.
C
Yes, it is biased. Some of the residents who are surveyed may not want to respond to someone who knocks at their door.
D
Yes, it is biased. Only certain parts of the town were surveyed.
16

Which is an accurate comparison?

A
The median is likely greater than the mean because the data is skewed to the left.
B
The mean is likely greater than the median because the data is skewed to the right.
C
The mean is likely greater than the median because the data is skewed to the left.
D
The median is likely greater than the mean because the data is skewed to the right.

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