Advanced Placement: Quiz On Statistics! Trivia Questions

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Quizzes Created: 14 | Total Attempts: 8,314
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  • 1/5 Questions

    In a large high school, student leadership wants to randomly select a sample to survey the student body.  They will first randomly select 25 freshman, then randomly select 25 sophomores, then randomly select 25 juniors, and then randomly select 25 seniors.  This is an example of a

    • Cluster sample
    • Stratified sample
    • Simple random sample
    • Convenience sample
    • Systematic sample
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About This Quiz

Welcome to this advanced placement quiz on statistics quiz! The trivia questions are designed to help you test out what you have understood so far when it comes to your classes on the subject, and if you have been attentive. All the best as you tackle it and get to see just how much revision time you should get.

Advanced Placement: Quiz On Statistics! Trivia Questions - Quiz

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  • 2. 

    A least-squares regression line for predicting performance on a college entrance exam based on high school GPA is determined to be Predicted Score = 273.5 + 91.2(GPA).  One student in the study had a high school GPA of 3.0, and an exam score of 510.  What is the residual for this student?

    • 26.2

    • 43.9

    • -37.1

    • -26.2

    • 37.1

    Correct Answer
    A. -37.1
    Explanation
    The residual for a student is the difference between the actual value and the predicted value. In this case, the predicted score for a student with a high school GPA of 3.0 would be 273.5 + 91.2(3.0) = 547.1. The actual score for this student is 510. Therefore, the residual is 510 - 547.1 = -37.1.

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  • 3. 

    A recent poll reported that 43% of Californians approve of the job the Governor is doing, with a margin of sampling error of + or - 3.25% at a 95% level of confidence.  Which of these correctly interprets that margin of error?

    • There is a 3.2% chance that the proportion of all Californians who approve of the job the Governor is doing is not 43%.

    • There is a 95% chance that the proportion of all Americans who approve of the job the Governor is doing is 43%.

    • About 3.2% of all Californians approve of 95% of what the Governor does.

    • About 95% of polls conducted this way will give a sample proportion within 3.2 percentage points of the actual proportion of all Californians who approve of the job the Governor is doing.

    • About 95% of polls conducted in this way will find between 39.8% and 46.2% of those sampled approve of the job the Governor is doing.

    Correct Answer
    A. About 95% of polls conducted this way will give a sample proportion within 3.2 percentage points of the actual proportion of all Californians who approve of the job the Governor is doing.
    Explanation
    The correct answer correctly interprets the margin of error by stating that about 95% of polls conducted in this way will give a sample proportion within 3.2 percentage points of the actual proportion of all Californians who approve of the job the Governor is doing. This means that the reported approval rate of 43% could range from 39.8% to 46.2% in reality, with a high level of confidence.

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  • 4. 
    Below is a cumulative relative frequency plot (or, an ogive) for the scores of a large university class on a 90-point calculus exam.  Which of the following observations is correct? - ProProfs

    Below is a cumulative relative frequency plot (or, an ogive) for the scores of a large university class on a 90-point calculus exam.  Which of the following observations is correct?

    • The median score is at least 60 points.

    • The distribution of scores is skewed to the right.

    • The distribution of scores is skewed to the left.

    • The distribution of scores is roughly symmetric.

    • If a passing score is 60, most students passed the test.

    Correct Answer
    A. The distribution of scores is skewed to the right.
    Explanation
    Based on the cumulative relative frequency plot, the correct answer is that the distribution of scores is skewed to the right. This can be determined by observing that the curve of the plot rises more steeply on the left side and gradually levels off on the right side, indicating that there are more lower scores and fewer higher scores. This is characteristic of a right-skewed distribution.

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  • 5. 

    A test for heartworm in dogs shows a positive result in 96% of dogs that actually have heartworm, and shows negative results in 98% of dogs with no heartworm.  If heartworm actually occurs in 10% of dogs, what is the approximate probability that a randomly selected dog that tested positive for heartworm actually has heartworm?

    • 11%

    • 18%

    • 84%

    • 88%

    • 96%

    Correct Answer
    A. 84%
    Explanation
    The probability that a randomly selected dog that tested positive for heartworm actually has heartworm can be calculated using Bayes' theorem. The theorem states that the probability of an event A given event B can be calculated as the probability of event A and event B occurring divided by the probability of event B occurring. In this case, event A is the dog actually having heartworm and event B is the dog testing positive for heartworm. The probability of event A and event B occurring is 0.10 * 0.96 = 0.096, and the probability of event B occurring is 0.10 * 0.96 + 0.90 * 0.02 = 0.104. Therefore, the probability that a randomly selected dog that tested positive for heartworm actually has heartworm is 0.096 / 0.104 = 0.923, which is approximately 84%.

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  • Current Version
  • Mar 17, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Apr 08, 2019
    Quiz Created by
    Gian Petersen
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