A medical researcher wants to study the effects of various factors on pulse rates. The researcher records the height, weight, gender, smoking preference, activity level, and resting pulse rate of 91 undergraduate students. The researcher then randomly divides the students into two groups. The first group runs in place for a minute while the other group stands still. Then, the researcher records the students' pulse rates again.
You can use this data to demonstrate Cross Tabulation and Chi-Square, Descriptive Statistics (Tables), Graphical Summary, Bar Chart of A function of a variable, Fit Regression Model, and many other commands that explore relationships between several measurement variables and groups.
|Pulse1||The resting pulse of each student|
|Pulse2||The pulse after running or not running for each student (after treatment)|
|Ran||Whether or not the student ran in place: Yes or No (treatment)|
|Smokes||Whether or not the student smokes regularly: Yes or No|
|Gender||The gender of the student: M or F|
|Height||The height of the student, in inches|
|Weight||The weight of the student, in pounds|
|Activity||The usual activity level of the student: Slight, Moderate, or A lot|