math 260 final project
DESCRIPTION
Math 260 Final Project. //name //major //picture (optional). 1a. Confidence Intervals. a) State if you’re doing Means or Proportion. D escribe problem. (Ex: I’ll find a 95% confidence interval for the true mean age of all MA 260 students). - PowerPoint PPT PresentationTRANSCRIPT
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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