Exam: 350362RR – Data: Description, Collection, and Sampling

# Exam: 350362RR – Data: Description, Collection, and Sampling

Student ID: 22144192

Exam: 350362RR – Data: Description, Collection, and Sampling

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Questions 1 to 20: Select the best answer to each question. Note that a question and its answers may be split across a page break, so be sure that you have seen the entire question and all the answers before choosing an answer.

1. Which of the following statements is true? A. In a true census, no inferential statistics can be done, because the entire population is the sample.

B. When taking a sample from the population, the variable involved will always be qualitative.

C. A population is the object upon which we collect data.

D. The definition of a census is the decennial census of the United States of America.

2. In an effort to figure out why application rates are slipping, your college decides to set up an experiment to determine why students who are interested in the college decide to enroll or not. The college decides to send out a questionnaire to everyone who submitted an application to the college in 2017. What’s the population for this study, and what’s the sample? A. The population is all college students everywhere, and the sample is all college students interested in your school.

B. The population is all students who applied to your college, and the sample is the individuals who responded to the survey.

C. The population is all college students interested in your school, and the sample is everyone who decided to enroll.

D. The population is all college students everywhere, and the sample is the individuals who responded to the survey.

3. A population is a collection of _______ about which you’ll measure certain characteristics or properties, called variables. A. data.

B. experimental units.

C. sample values.

D. traits.

4. What’s the difference between a histogram and a bar chart? A. The adjacent rectangles in a bar chart have a gap, while those for a histogram don’t.

B. The adjacent rectangles in a histogram have a gap, while those for a bar chart don’t.

C. A histogram reflects qualitative data, while the bar chart represents quantitative data.

D. A histogram and a bar chart both reflect qualitative data.

5. In a sample with mean of 12 and standard deviation of 3.5, a data point at 16.8 would have what sample z-score? A. 1.58

B. 4.8

C. 1.4

D. 1.37

6. What’s qualitative data? A. A set of units

B. Any set of output numbers

C. Measurements that are measured on a natural numerical scale

D. Measurements that can’t be measured on a natural numerical scale

7. Which of the measures of central tendency would best represent this data? A. Median

B. Mode

C. Mean

D. Variance

8. You’re trying to find out how many students who graduate with accounting degrees from large universities are employed at graduation. You design an experiment where you collect information on several variables from recent graduates from the University of Florida accounting program. Specifically, you survey 198 alumni about their employment status, age at graduation, gender, and grade point average. Which of the data you collected is qualitative? A. Gender and grade point average

B. Gender and employment status

C. Age at graduation and grade point average

D. Employment status and gender

9. The following dataset represents a student’s GPA over six semesters: 3.2, 2.5, 2.1, 3.7, 2.8, 2.0 What’s the student’s mean GPA? A. 3.5

B. 2.72

C. 2.0

D. 2.65

10. Use the following data sample to answer the question. 4, 14, 6, 9, 21, 3, 7, 10 What’s the standard deviation of this data sample? A. 4.33

B. 243.5

C. 5.90

D. 34.79

11. In the distribution shown, which of the following would you expect? A. The mean is greater than the mode, which in turn is greater than the median.

B. The mean is less than the median, and the median is less than the mode.

C. There’s no difference in the values of the mean, median, and mode.

D. The mean is greater than the median, and the median is greater than the mode.

12. Researchers are interested in increasing female participation in the technology sector. They sampled 174 professional women. Of these women, 107 lived in urban areas, 57 in suburban areas, and 10 in rural areas. What’s the proportion of study participants from rural areas? A. .366

B. .325

C. .057

D. .594

13. You’re trying to find out how many students who graduate with accounting degrees from large universities are employed at graduation. You design an experiment where you collect information on several variables from recent graduates from the University of Florida accounting program. Specifically, you survey 198 alumni about their employment status, age at graduation, gender, and grade point average. Which of the data you collected is quantitative? A. Gender and grade point average

B. Employment status and grade point average

C. Employment status and gender

D. Age at graduation and grade point average

14. Ten students were sampled at random from a student population. Each was asked how many courses he or she was planning on studying in the upcoming year. The following is a list of the reported data values: 1, 2, 2, 3, 4, 5, 5, 5, 5, 6 What’s the variance for the data values? A. 2.844

B. 1.6

C. 1.687

D. 2.56

15. Your environmental science professor designs an experiment to see whether students in her class care about recycling. She places a recycling bin and a trash bin at the front of the class and then hands out a piece of paper to every student. She asks them to write on the piece of paper their student number, their favorite movie, and whether they own a pet. At the end of the class, she asks all of the students to dispose of the paper before they leave. Then, the professor retrieves the papers from either the trash bin or recycling and counts how many papers ended up in each bin. In this experiment, what variable is measured? A. How many students cared about the environment.

B. How many students had pets.

C. How many students listed the same favorite movie.

D. How many papers were recycled or thrown in the trash.

16. What percentile is the upper quartile? A. 75%

B. 50%

C. 25%

D. 100%

17. Robotics manufacturers can design mobility features in one of several ways. Robots can have legs, wheels, both legs and wheels, or no legs or wheels. Using a random sample of 106 robots, researchers found that 63 had legs only, 20 had wheels only, 8 had both legs and wheels, and 15 had no legs or wheels. What’s the relative frequency of robots with no legs or wheels? A. .5

B. .189

C. .075

End of exam

D. .142

18. Consumer product manufacturers commonly include customer satisfaction surveys on product warranty cards that are sent back to the company. An outdoors company redesigned a popular camping tent, and it wants to know whether customers like the newer version better than the older one. So, they include in their warranty registration card a survey that askes two questions: first, whether the customer owned the older version of the tent and, second, whether they liked the newer version better. What variable was measured by this experiment? A. Whether customers who never owned the original design like the new tent design

B. Consumer satisfaction with camping tent design

C. Camping tent design technical superiority

D. Camping tent profitability

19. To answer the question, refer to the following list of raw data. 63, 71, 72, 77, 77, 78, 86, 77, 88, 88 What’s the mean for the data? A. 87.5

B. 77.5

C. 77

D. 77.7

20. Bridges in the United States are regularly inspected by federal and state regulatory agencies. Data from these inspections is compiled into a computer database, which includes information on the length of each bridge, how many travel lanes it has, whether it’s a toll bridge, how many cars travel over the bridge each day, the condition of the bridge (good, fair, or poor). Which of these data are quantitative? A. Whether it’s a toll bridge and the condition of the bridge (good, fair, or poor).

B. The length of each bridge, how many travel lanes it has, how many cars travel over the bridge each day.

C. The length of each bridge, how many travel lanes it has, and whether the policies in place are sufficient to ensure the bridge is safe.

D. How many travel lanes it has, how many cars travel over the bridge each day, and whether the bridge is a toll bridge.