Data Sets for Kutner et al

Data Sets for Kutner et al.

Data sets from Chapter 1

Data for Problem 19 Grade Point Average. The director of admissions of a small college selected 120 students at random from the new freshman class in a study to determine whether a student’s grade point average (GPA) at the end of the freshman year (Y) can be predicted from the ACT test score (X).

Data for Problem 20 Copier Maintenance. The Tri-City Office Equipment Corporation sells an imported copier on a franchise basis and performs preventive maintenance and repair service on this copier. The data set consists of 45 recent calls on users to perform routine preventive maintenance service; for each call, X is the number of copiers serviced and Y is the total number of minutes spent by the service person.

Data for Problem 22 Plastic hardness. Experience with a certain type of plastic indicates that a relation exists between the hardness (measured in Brinell units) of items molded from the plastic (Y) and the elapsed time since termination of the molding process (X). There was a total of 16 batches of the plastic made and from each batch one test item was molded.

Data for Problem 27 Muscle mass. A person’s muscle mass is expected to decrease with age. To explore this relationship in women, a nutritionist randomly selected 15 women from each 10 year age group, beginning with age 40 and ending with age 79. In this data set, X is age and Y is a measure of muscle mass.

Data for Problem 28 Crime rate. A criminologist studying the relationship between level of education and crime rate in medium-sized U.S. counties collected the following data for a random sample of 84 counties: X is the percentage of individuals in the the county having at least a high-school diploma, and Y is the crime rate (crimes reported per 100,000 residents) last year.

Other Data Sets

Transformation data set

Data for Problem 3.4h

Data for Problem 3.9

Data for Problem 3.11

Data for Problem 8.6

Data for Problem 8.16

Data for Problem 6.9

Data for Problem 6.5

Data for Problem 6.15

SENIC Study on the Efficacy of Nosocomial Infection Control – 113 hospitals

V1: ID number