Module 4 Hypothesis Testing Examples Flashcards
A researcher is interested in the effect of teaching style on physical activity engagement. She randomly assigns participants to one of two groups: teaching style A and teaching style B. After six weeks, participants are measured on the amount of physical activity they participate in.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Teaching Style
DV - Physical Activity Engagement
Null - The mean of style A = The mean of style B
Data Analysis - Independent T-test
A researcher wants to examine the effect of swinging a weighted baseball bat on bat swing velocity. Forty-five college baseball players are randomly assigned to one of three groups: control (no added weight), using a bat that is 8 oz. heavier, and using a bat that is 12 oz. heavier. Each subject uses the same training program with the only difference being the weight of the bat. Prior to training, each subject is pretested for bat swing velocity. After six weeks of training, each subject is again tested for bat swing velocity.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Weighted Baseball Bat
DV - Swing Velocity
Null - The mean of the pre-test = the mean of the post-test; The mean of no weight = the mean of 8 oz = the mean of 12 oz; No interaction
Data Analysis - Two-way ANOVA with Repeated Measure
A researcher wants to examine differences in ethical decision-making among different college majors. Kinesiology, Philosophy, Chemistry, and Business students volunteered to participate in the study. They were given a questionnaire to measure ethical decision-making.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - College Majors
DV - Ethical Decision
Null - The mean of Kins = The mean of Philosophy = The mean of Chem = The mean of Business
Data Analysis - One-way ANOVA
A researcher wants to evaluate the effects of music and humor during
rehabilitation on recovery time in injured athletes. Subjects who had
recently undergone season-ending knee surgery were randomly
assigned to one of two humor groups (humor or no humor) and to one
of two music groups (music or no music). They were measured to see
how long it took them to return to play.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Music and Humor
DV - Recovery Time
Null - The mean of no humor = the mean of the humor; The mean of no music = the mean of music; No interaction
Data Analysis - Two-way ANOVA
A sport psychologist hypothesizes that female athletes
are more jealous of teammate’s success than male
athletes. To test this hypothesis, she measures 100
female and 100 male athletes on sport jealousy.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Gender
DV - Jealousy
Null - The mean of males = The mean of females
Data Analysis - Independent T-test
A sport psychologist wants to see if relaxation training can reduce a golfer’s pre-competition anxiety and self-confidence. A group of college golfers are measured on anxiety and self-confidence before a competitive round of golf. They are then given a relaxation training
seminar. They are then measured for pre-competition anxiety and self-confidence before another competitive round.
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Relaxation
DV - Anxiety and Self-confidence
Null - The mean of the pre-test = The mean of the post-test (2x)
Data Analysis - 2 Dependant T-tests
Remember at the beginning of the semester, we collected
some data on how many numbers you could find in the
grid? How would you answer these questions for that
scenario?
- What are the independent and dependent variables?
- What is the null hypothesis (es)?
- What is the appropriate data analysis?
IV - Font Size
DV - Score
Null - The mean of the control = the mean of the smaller = the mean of the varied; The mean of the pre-test = the mean of the post-test; No interaction
Data Analysis - Two-way ANOVA with Repeated Measure
