# Statistics 50 multiple choice questions

1. Which of the following is a matched pairs design?   A) Measure levels of depression for a random sample of internet users and for a random sample of non-users.   B) Measure level of depression for a random sample on non-internet users: provide them with internet use for a year and then measure their level of depression.
2. Which of the the following techniques is best used for QUANTITATIVE data?   A) Histogram   B) Pie Chart   C) Two-way Table   D) Bar Chart
3. Suppose the distirbution of speeds at an interstate highway location is bell-shaped with a mean of 73mph and a standard deviation of 4mph. About 95% of vehicles at this location travel between ____ and ____ mph?   A) 65 and 81 mph   B) 69 and 77 mph   C) 61 and 85 mph
4. Which one of the following variables is discrete?   A) The number of automobiles produced by Ford   B) The daily high temperature in Chicago   C) The age of the students in our class   D) The weight of the students in our class   E) The manufacturer of an automobile
5.
From the histogram above, which of the following would we expect to be true?   A) The median would be less than the mean   B) The median would be greater than the mean   C) The median would be equal with the mean

6. Find the mean for the following set of values: 12, 14, 19, 13, 17.   A) 14.5   B) 14   C) 18.75   D) 15
7. A study found that students who procrastinate are more likely to get colds. A sample of 300 college students was asked how often they procrastinate and if they’ve had a cold in the last two months. Below is a two-way table of counts (rows = whether or not procrastinates).
State the appropriate null hypotheses for this study.   A) There is no relationship in the population between Procrastination and Having a Cold.   B) There is no relationship in the sample between Procrastination and Having a Cold.   C) There is relationship in the population between Procrastination and Having a Cold.   D) There is relationship in the sample between Procrastination and Having a Cold.
8. A research project was conducted to study whether gender plays a role in the acceptance of a student into vocational education programs. A random sample of 200 applicants for vocational education was selected from a school district. The data were then summarized into table shown below.
The appropriate alternative hypotheses for this study is that gender and acceptance are associated.  A) True  B) False

9. A research project was conducted to study whether gender plays a role in the acceptance of a student into vocational education programs. A random sample of 200 applicants for vocaional education was selected from a school district. The data were then summarized into table shown below.
What are the odds of acceptance for females?   A) 45/35   B) 45/80   C) 35/80   D) 45/200
10.
Using the above regression output, what is the correct regression equation?   A) y-hat = – 21.04 + 0.5666X1   B) y-hat = 0.5666 – 21.04X1   C) y-hat = 16.00 + 0.1475X1   D) y-hat = 16.00 + 0.5666X1
11.
Using the above regression output, then the correlation between X1 and Y would be calculated by taking:   A) The positive square root of 0.45   B) 0.45 times 0.45   C) The negative square root of 0.45

12
Using the above regression output, how much of the variation in Y is explained by X1?   A) 45%   B) 42%   C) The positive square root of 0.45   D) 3.98537%
13.

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