
Chapter 3 MC Review
Authored by Spencer Papp
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11 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
A school guidance counselor examines how many extracurricular activities students participate in and their grade point average. The guidance counselor says, “The evidence indicates that the correlation between the number of extracurricular activities a student participates in and his or her grade point average is close to 0.” Which of the following is the most appropriate conclusion?
2.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
An AP Statistics student designs an experiment to see whether today’s high school students are becoming too calculator-dependent. She prepares two quizzes, both of which contain 40 questions that are best done using paper-and-pencil methods. A random sample of 30 students participates in the experiment. Each student takes both quizzes—one with a calculator and one without—in a random order. To analyze the data, the student constructs a scatterplot that displays a linear association between the number of correct answers with and without a calculator for the 30 students. A least-squares regression yields the equation
3.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
What is the correlation between temperature and fish activity?
4.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
What was the actual activity level rating for the fish at a temperature of 20 degrees Celcius?
5.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Which of the following gives a correct interpretation of s in this setting?
6.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Which of the following statements is not true of the correlation r between the lengths (in inches) and weights (in pounds) of a sample of brook trout?
7.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
When we standardize the values of a variable, the distribution of standardized values has mean 0 and standard deviation 1. Suppose we measure two variables X and Y on each of several subjects. We standardize both variables and then compute the least-squares regression line. Suppose the slope of the least-squares regression line is −0.44. We may conclude that
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