Type:
Solution Manual
Resource:
Intro Stats
Edition:
5th Edition
Author(s):
Ricahrd De Veaux Paul Velleman David Bock
INSTRUCTOR’S SOLUTIONS MANUAL WILLIAM CRAINE III Lansing High School
I NTRO S TATS FIFTH EDITION
Richard De Veaux Williams College
Paul Velleman Cornell University
David Bock Cornell University
Contents Chapter 1 Chapter 2 Chapter 3
1 7 17
Chapter 4 Chapter 5 Review of Part I
Stats Starts Here Displaying and Describing Data Relationships Between Categorical Variables -Contingency Tables Understanding and Comparing Distributions The Standard Deviation as Ruler and the Normal Model Exploring and Understanding Data
Chapter 6 Chapter 7 Chapter 8 Chapter 9 Review of Part II
Scatterplots, Association, and Correlation Linear Regression Regression Wisdom Multiple Regression Exploring Relationships Between Variables
97 112 145 182 190
Chapter 10 Chapter 11 Review of Part III
Sample Surveys Experiments and Observational Studies Gathering Data
216 227 245
Chapter 12 Chapter 13
257 283
Chapter 14 Chapter 15 Chapter 16 Review of Part IV
From Randomness to Probability Sampling Distribution Models and Confidence Intervals for Proportions Inferences About Means Testing Hypotheses More About Tests and Intervals From the Data at Hand to the World at Large
301 327 359 375
Chapter 17 Chapter 18 Chapter 19 Chapter 20 Review of Part V
Comparing Groups Paired Samples and Blocks Comparing Counts Inferences for Regression Inference for Relationships
403 451 472 497 524
Parts I – V
Cumulative Review Exercises
566
35 53 78
Chapter 1 Stats Starts Here
1
Chapter 1 – Stats Starts Here Section 1.1 1. Grocery shopping. Discount cards at grocery stores allow the stores to collect information about the products that the customer purchases, what other products are purchased at the same time, whether or not the customer uses coupons, and the date and time that the products are purchased. This information can be linked to demographic information about the customer that was volunteered when applying for the card, such as the customer’s name, address, sex, age, income level, and other variables. The grocery store chain will use that information to better market their products. This includes everything from printing out coupons at the checkout that are targeted to specific customers to deciding what television, print, or Internet advertisements to use. 2. Online shopping. Amazon hopes to gain all sorts of information about customer behavior, such as how long they spend looking at a page, whether or not they read reviews by other customers, what items they ultimately buy, and what items are bought together. They can then use this information to determine which other products to suggest to customers who buy similar items, to determine which advertisements to run in the margins, and to determine which items are the most popular so these items come up first in a search. 3. Parking lots. The owners of the parking garage can advertise about the availability of parking. They can also communicate with businesses about hours when more spots are available and when they should encourage more business. 4. Satellites and global climate change. This rise and fall of temperature and water levels can help in planning for future problems and guide public policy to protect our safety. Section 1.2 5. Super Bowl. When collecting data about the Super Bowl, the games themselves are the Who. 6. Nobel laureates. Each year is a case, holding all of the information about that specific year. Therefore, the year is the Who. 7. Health records. The sample is about 5,000 people, and the population is all residents of the United States of America. The Who is the selected subjects and the What includes medical, dental, and physiological measurements and laboratory test results. 8. Facebook. The Who is the 350 million photos. The What might be information about the photos, for example: file format, file size, time and date when uploaded, people and places tagged, and GPS information.
.
2
Part I Exploring and Understanding Data
Section 1.3 9. Grade level. a) If we are, for example, comparing the percentage of first-graders who can tie their own shoes to the percentage of second-graders who can tie their own shoes, grade-level is treated as categorical. It is just a way to group the students. We would use the same methods if we were comparing boys to girls or brown-eyed kids to blue-eyed kids. b) If we were studying the relationship between grade-level and height, we would be treating grade level as quantitative. 10. ZIP codes. a) ZIP codes are categorical in the sense that they correspond to a location. The ZIP code 14850 is a standardized way of referring to Ithaca, NY. b) ZIP codes generally increase as the location gets further from the east coast of the United States. For example, one of the ZIP codes for the city of Boston, MA is 02101. Kansas City, MO has a ZIP code of 64101, and Seattle, WA has a ZIP code of 98101. 11. Voters. The response is a categorical variable. 12. Job hunting. The answer is a categorical variable. 13. Medicine. The company is studying a quantitative variable. 14. Stress. The researcher is studying a quantitative variable. Section 1.4 15. Voting and elections. Pollsters might consider whether a person voted previously or whether he or she could name the candidates. Voting previously and knowing the candidates may indicate a greater interest in the election. 16. Weather. Meteorologists can use the models to predict the average temperature ten days in advance and compare their predictions to the actual temperatures. 17. The News. Answers will vary. 18. The Internet. Answers will vary. 19. Gaydar. Who – 40 undergraduate women. What – Whether or not the women could identify the sexual orientation of men based on a picture. Population of interest – All women. .