Math 260 Final Project
• //name
• //major
• //picture (optional)
1a. Confidence Intervals
a) State if you’re doing Means or Proportion.
Describe problem.
(Ex: I’ll find a 95% confidence interval for the
true mean age of all MA 260 students).
1b. Confidence Interval Data
(insert data in a table, or attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
1c. Confidence Interval
• sample mean or sample proportion (pick one)
• margin of error: ____
• confidence interval
• Interpretation (explain in a sentence)
2a. Hypothesis Test for Means
Describe your problem here
(ex: “I suspect that the average age of students
on campus is more than 19 years old.”)
2b. Hypothesis test data
(attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
2c. Five step hypothesis test
1.
2.
3.
4.
5.
3a. Second hypothesis test
• Choose either proportion test or difference of
means (dependent or independent). (State
which one)
• State problem (ex: I suspect that less that 10%
of student on campus are math majors. I will
test this claim at =0.05”)
3b. Hypothesis test data
• (attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
3c. Five step hypothesis test
1.
2.
3.
4.
5.
4a. Correlation and Regression
• Response variable:
• Predictor:
• How data was collected
• Sampling method
4b. Regression data
(include a sample of at least 20)
• (attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
4c. Correlation and Regression
• Minitab calculates that correlation is r= ____
• P value
• Interpretation of p value
• Minitab calculates the Regression equation as
____________
• We can use the equation to predict.
• (pick an appropriate x, and calculate y)
4d. Regression
(attach data: take Print Screen of Minitab’s Fitted Line plot,
Use “Insert screensheet” on Powerpoint)
5a. Multiple Regression
• Explain problem
• Response variable ___________
• Predictors:
– ___________
– ___________
– ___________
• Method of collection of data
5b. Multiple Regression
(insert sample data of at least 20)
• (attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
5c. Multiple Regression
• Minitab calculates the regression equation:
• A prediction
(pick appropriate predictors x1 and x2, and
predict y)
• R 2 is:______
• Interpretation of R 2
5d. Multiple Regression
Analysis of predictors
predictor
P value
Is this variable a good
predictor? Why/why not?
6. ANOVA
• (describe your study)
6. ANOVA -- data
• (attach data: take Print Screen of data,
Use “Insert screensheet” on Powerpoint)
ANOVA
(insert Minitab One-way (unstacked) ANOVA analysis)
6. ANOVA – 5 step test
1.
2.
3.
4.
5.