You may use the extra sheets of paper to solve the following questions, but please report your results and conclusions in the space provided.  Whenever possible, show your work for potential partial credit.  NOTE:  When performing numerical calculations, keep at least 4 digits after a decimal.  (I.e., do NOT round .2265 to .23 or .227)  BUDGET YOUR TIME WISELY!

1.  The time in minutes for which a student uses a computer terminal at the computer center of a major university follows an exponential probability distribution with a mean of 32 minutes.  Assume a student arrives at the terminal just as another student is beginning to work on the terminal.

a.  What is the probability that the wait for the second student will be 12 minutes or less?  (3 points)

 

 

 

b.  What is the probability that the wait for the second student will be between 18 and 30 minutes? (4 points)

 

 

 

 

c.  Your nosy roommate wants you to calculate the probability that the second student waits exactly 32 minutes.  What do you say to this person?  Explain your reasoning. (6 points)

 

 

 

 

 

 

 

 

 

 

 

2.  Assume the Hanover College student grade point average is normally distributed with a population mean of 2.8915 and standard deviation of .5134.

a.  What is the probability that a randomly selected student will have a GPA of lower than 2.50? (3 points)

 

 

 

b.  At what GPA would a student need to earn such that he/she would have a GPA above 15% of the student body? (5 points)

 

 

 

 

 

 

 

c.  Any student who graduates with a GPA of 3.90 or better, earns the distinction of graduating summa cum laude.[1] What is the probability that a student will earn such an honor?  (4 points)


3.  Suppose I want to use a sample of college students to make predictions on overall exercise habits (as measured by hours of exercise per week) for the population of all college students in the U.S.  In general, describe the sampling distribution for the mean # of hours of exercise per week.  Include the expected value and standard deviation.  Describe the important role that the Central Limit Theorem plays here.  Use diagrams where necessary.  (15 points)

 

 

 

 

 

 

 

 

 

 

 

 

 

4.  A sample of 142 students is taken from a population of 975.  The sample mean hours of weekly exercise is 6.1373 hours with a sample standard deviation of 4.6258 hours. 

a.  Should we consider this population to be finite or infinite?  Explain. (3 points)

 

 

 

b.  In this situation, what are the population parameters and what are their values? (2 points)

 

 

 

c.  In this situation, what are the point estimators and what are their values? (2 points)

 

 

 

d.  If another sample of 142 students were taken from the same population, what is the probability of a sampling error of 1 hour or less? (4 points)

 

 

 

 

5.  You are reading an article that describes a survey of recent college graduates.  The article says that students that major in economics earn an average of $41,500 in starting salary and benefits with a margin of error of $800.  In the footnote of the article you see that the researchers used a 90% level of confidence and that 119 people were surveyed.

a.  Use the above information to compute the standard deviation of the sample of recent graduate starting salaries. (2 points)

 

 

b.  Explain to a “person on the street” what the above margin of error means.  Why is it necessary and/or useful?  (6 points)


6.  A national magazine reports that a random sample of 142 U.S. college students rate their “quality of life” as an average of 6.8225; where 10 is the highest.  The sample standard deviation is 1.7149.  Construct a 99% confidence interval estimate for the population mean ranking of “quality of life”.  Explain what your interval tells you.  If you were the President of a college, would you be concerned?  Why? (10 points)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

7.  The monthly cost of a two-bedroom apartment in a particular city is reported to average $550.  We want to test whether this average has changed in recent years.

a.  State the null and alternative hypotheses and the level (α) at which you are conducting the test.  Why did you set up the test in this way? (4 points)

 

 

 

 

 

 

 

 

b.  What is your critical value(s) and where is the rejection range(s)?  Show in a diagram.  (2 points)

 

 

 

 

 

 

c.  A sample of 36 apartments is selected.  The sample mean rent is $562 per month with a sample standard deviation of $40.  Calculate your test statistic.  (2 points)

 

 

 

 

d.  Clearly state your conclusion to the test and explain what it means for the rental market in this city. (4 points)

 

 

 

 

 

 


8.  Environmental health indicators include air quality, water quality, and food quality.  Twenty-five years ago, 47% of U.S. food samples contained pesticide residues (U.S. News and World Report, April 17, 2000).  In a recent study 44 of 125 food samples contained pesticide residues. We wish to investigate whether the level of pesticide residues has fallen.

a.  State the null and alternative hypotheses for the test.  (2 points)

 

 

 

b.  Discuss both type I and type II errors for the above hypothesis test.  For each type of error, what might be the ramifications for public health?   (6 points)

 

 

 

 

 

 

 

 

 

 

 

c.  Given your consideration of type I and type II error, specify the level (α) at which you are conducting the test.  Justify this decision. (3 points)

 

 

 

 

 

 

 

 

 

 

d.  What is your critical value(s) and where is the rejection range(s)?  Show in a diagram.  (2 points)

 

 

 

 

 

e.  Given the sample information provided to you,  calculate your test statistic.  (2 points)

 

 

 

 

f.  Clearly state your conclusion to the test and explain what it means for environmental quality and public health. (4 points)

 

 

 

 

 



[1]   Latin for “annoying smarty-pants”.