Survey for students of Jong-Min Kim

Part I: Questionnaire

1. In what year did you last take STAT 1601?

2000 2001 2002 2003 2004 2005 2006 2007

2. In what semester did you last take STAT 1601?

Fall Spring Summer

3. Please list how many courses in statistics you took prior to STAT 1601?

0 1 2 3 4 5 6 7 8 9 10+

4. How many courses in statistics have you had since STAT 1601?

5. Have you read any books on statistics or done any other outside learning that might have increased your knowledge of statistics substantially beyond what you learned in STAT 1601? Please check the option that best corresponds to your level of outside learning.

No outside learning Minimal outside learning Some outside learning Extensive outside learning

6. How many hours per week were you tutored on average during your STAT 1601 class?

7. Please check off each item below that corresponds to a teaching method your professor used in the course. You can choose more than one.

Textbook Additional readings beyond the textbook Worksheets Overheads presented in class PowerPoint or other computer slides presented in class Professor made notes available online Videos Learning activities involving designing an experiment or study Learning activities involving analyzing a dataset and writing a report Learning activities involving giving an in-class presentation Peer tutoring Use of specialized statistical software (SPSS, Sysstat, etc.) If your professor used a method not listed here, please describe it in the box:

8a. Can you recall any specific experiences during your STAT 1601 course that were particularly memorable? If so please briefly describe as many as you can. Write your response in the box below.

8b. How many separate memories did you list?

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

For the next two questions, please mark the response that indicates the extent to which you agree with the statement:

9. I was able to completely master the skills and knowledge taught to me in STAT 1601

Strongly Disagree Disagree Somewhat Disagree Somewhat Agree Agree Strongly Agree

10. My STAT 1601 course was personalized to fit my needs.

11. Please mark the option that best describes your studying habits during STAT 1601:

Studied multiple days each week Mostly studied on nights before an exam

12. Please indicate your personal level of interest in statistics

13. Please indicate the degree to which you consider knowledge of statistics relevant to your future career plans.

Very Irrelevant Irrelevant Somewhat Irrelevant Somewhat Relevant Relevant Very Relevant

14. What is your class standing? Please choose one.

Freshman Sophomore Junior Senior Graduate

15. What is your gender?

Male Female

16. Please list your majors and minors.

1st major:

2nd major:

3rd major:

1st minor:

2nd minor:

3nd minor:

17. What is your age? Please choose one.

Younger than 18. 19-20 21-24 25 or older.

18. What is your student ID number? (This number will only be used by your professor to access your original exam scores and grades from STAT 1601 and will be erased thereafter. No one except your professor will know what name or ID number goes with what original exam scores or grades.)

Please enter numbers only

Part II: Test

Instructions: You may use a calculator but please do not use any other outside help that you did not have during the original exam. Providing a good but honest effort will help the statistics department accurately assess learning and identify areas that need improvement.

Table of normal probabilities:

Please choose the best answer out of the choices given. You may need to use the above table to answer some questions.

1. A study is conducted on students taking a statistics class. Several variables are recorded in the survey. Which one is a categorical variable?

(A) Type of car the student owns. (B) Number of credit hours taken during that semester. (C) The time the student waited in line at the bookstore to pay for his/her textbooks (D) Total amount of tuition paid during that semester.

2. The fraction of the variation in the values of y that is explained by the least-squares regression of y on x is:

(A) the correlation coefficient. (B) the slope of the least-squares regression line. (C) the square of the correlation coefficient. (D) the intercept of the least-squares regression line.

3. In a study of 1991 model cars, a researcher computed the least-squares regression line of price (in dollars) on horsepower. He obtained the following equation for this line:

Price = –6677 + 175 × Horsepower.

Based on the least-squares regression line, what would we predict the cost of a 1991 model car with horsepower equal to 200 to be?

(A) $41,677 (B) $35,000 (C) $28,323 (D) $13,354

4. Which of the following is not a major principle of experimental design?

(A) Comparative experimentation (B) Replication (C) Randomization (D) Segmentation

5. Olivia is planning to take a foreign language class. To research how satisfied other students are with their foreign language classes, she decides to take a sample of 20 such students. The university offers classes in four languages: Spanish, German, French, and Japanese. She will select a simple random sample of five students from each language.

What sampling technique is Olivia using?

(A) A simple random sample. (B) A stratified sample. (C) A multistage sample. (D) None of the above.

6. The sampling distribution of a statistic is:

(A) the probability that we obtain the statistic in repeated random samples. (B) the mechanism that determines whether randomization was effective. (C) the distribution of values taken by a statistic in all possible samples of the same size from the same population.

(D) the extent to which the sample results differ systematically from the truth.

7. A random variable is:

(A) a hypothetical list of the possible outcomes of a random phenomenon. (B) any phenomenon in which outcomes are equally likely. (C) any number that changes in a predictable way in the long run.

(D) a variable whose value is a numerical outcome of a random phenomenon.

8. Event A occurs with probability 0.2. Event B occurs with probability 0.8. If A and B are disjoint, then:

(A) P(A and B) = 0.16 (B) P(A and B)=1.0 (C) P(A or B)=1.0

(D) P(A or B)=0.16

Use the following to answer questions 9-10:

In a large city, 72% of the people are known to own a cell phone, 38% are known to own a pager, and 29% own both a cell phone and a pager.

9. What proportion of people in this large city own either a cell phone or a pager?

(A) 0.29 (B) 0.67 (C) 0.81

(D) 1.1

10. What is the probability that a randomly selected person from this city owns a pager, given that the person owns a cell phone?

(A) 0.266 (B) 0.38 (C) 0.403

(D) 0.528

11. The Environmental Protection Agency records data on the fuel economy of many different makes of cars. Data on the mileage of 20 randomly selected cars is listed below. The values are ordered for convenience.

12

13

15

16

17

18

19

20

22

23

24

26

27

29

(a) What is the median mileage for these 20 cars?

(b) What is the first quartile for the mileage data?

(c) What is the third quartile for the mileage data?

(d) What is the interquartile range for the mileage data?

12. Bigger animals tend to carry their young longer before birth. The length of horse pregnancies from conception to birth varies according to a roughly normal distribution with mean 336 days and standard deviation 3 days. Use 68-95-99.7 rule.

(a) Almost all (99.7% ) of horse pregnancies fall in what range of lengths?

(b) What percent of horse pregnancies are longer than 339 days?

13. Kelly Sanchez is a college senior who is interviewing at several companies for a management position. As she tours the offices at ABC Corporation, she notices that some seem to be much larger than others, and she wonders if there is a relationship between the number of years a person has spent at the company, x, and the width of that person's office space in feet, y. A random sample produced the following data pairs.

EMPLOYEE

x

y

1

3

4

2

40

7

9

5

38

6

8

10

Suppose that the least squares regression line is _{ } .

(a) Predict the width of an employee's office, if that employee spent 11 years at the company.

(b) Find the value of the residual for Employee 6.

(c) The value of the correlation coefficient between the number of years spent at the company and the width of the office space is 0.878. What is the proportion of variation in the width of the office can be explained by using the number of years spent at the company in a regression set up?

14. Choose an acre of land in Canada at random. The probability is 0.20 that it is forest and 0.10 that it is pasture.

(a) What is the probability that the acre chosen is not forested?

(b) What is the probability that a randomly chosen acre in Canada is something other than forest or pasture?

15. Let the random variable X be a random number with the uniform density curve shown in the figure below.

(a) P(0.6 < X < 1.0)?

(b) _{ }P(0.1 < X < 0.3 or 0.7 < X < 0.9)?

16. An opinion poll asks an SRS of 1000 American adults what they consider to be the most serious problem facing our schools. Suppose that if we could ask all adults this question, 30% would say “drugs.” The proportion p=0.3 is a population parameter. The proportion of the sample who answer “drugs” is a statistic used to estimate p. Suppose we know that has approximately the normal distribution with mean = 0.3 and standard deviation = 0.02. What is the probability that the poll results differ from the truth about the population by more than two percentage points? Use 68-95-99.7 rule.

17. What is your email address? (Entering this address verifies that you have participated in the study. It will only be used to contact you so we can make arrangements for you to receive your payment, it will not be connected to your class grades in any way.)

When you are finished, check your work and then hit SUBMIT below. If you need to start over, hit RESET to clear your answers.