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 test1.

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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

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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 RegressionAnalysis 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

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