Inferential Statistics
(o) Carry out a test of significance to decide whether Cal Poly students taking more units tend to have larger backpack to body weight ratios.
1. Define the parameter(s) of interest.
2. State the hypotheses both in symbols and in words.
3. Identify an appropriate test procedure.
4. Use technology to carry out the test of significance and copy the output into your report.
Press one of the links below to view the appropriate technology instructions.
- From your previous results, use the Bivariate Fit hot spot to select Fit Line.
- Note: JMP reports the two-sided p-value in the "Parameter Estimates" output in the Units row.
|
- Choose Stat > Regression > Regression > Fit Regression Model
- Specify the ratio variable in the Responses box and the Units variable in the Continuous Predictors box.
- Press OK twice.
- Note: Minitab displays a two-sided p-value in the Units row.
|
- summary(lm(backpackdata$ratio ~ backpackdata$Units))
- R reports the two-sided p-value in the Units row.
|
- Continuing with the Corr/Reg applet
- Check the Regression Table box. The applet reports the two-sided p-value in the Units row.
|
5. State your decision and summarize your conclusions in context.
