Hypothesis Testing: Average Tuition Cost Of Public College
STATISTICS PROJECT: Hypothesis Testing
See my comments in red. Scoring last page. INTRODUCTION My topic is the average tuition cost of a 4-yr. public college. Since I will soon be transferring to a 4-yr. college, I thought this topic would be perfect. "The College Board" says that the average tuition cost of college is $5836 per year. I will be researching online the costs of different public colleges to test this claim. I will be using the T-test for a mean, since my sample is going to be less than 30 and an unknown population standard deviation. I will also use Chi-Square Test of Independence. HYPOTHESIS I think the average cost of tuition is lower than the average stated by “The College Board”. Ho: mu >/= $5836. H1: mu< $5836 (Claim) …show more content…
I would be inclined to say that this is true, but it would need to be tested further to say for sure. It would also be interesting to do this same testing for private colleges to see if they have the same results. I thought this was fun to come up with our own hypothesis and try to prove ourselves right or wrong using what we have learned all quarter. It was a good test of our skills and it made me get a better understanding of how the formulas really work rather than just doing the homework examples in the book. Excellent summary/critique and project overall. I’ve been teaching this class for over 8 years and your project is one of the best. Can I please use this as a sample?
Grading Rubric
Statistics Project, Spring 2007 Objective Met (C, B-) Exceeded (B, B+) Outstanding (A-, A)
Hypothesis and Proposal 10 points Statement of hypothesis in Statement of hypothesis in words and symbols. words or symbols, type of Description of test you’ll test you plan to use. use and how you plan to implement it. Brief description the data Description and set including outliers, gaps, interpretation of data set and other observations. (what and why). Statement of hypothesis in words and symbols, including motivation. Type of hypothesis test and plans for implementation. Description and interpretation of data set. Discussion of potential problems including how data could be improved.
See my comments in red. Scoring last page. INTRODUCTION My topic is the average tuition cost of a 4-yr. public college. Since I will soon be transferring to a 4-yr. college, I thought this topic would be perfect. "The College Board" says that the average tuition cost of college is $5836 per year. I will be researching online the costs of different public colleges to test this claim. I will be using the T-test for a mean, since my sample is going to be less than 30 and an unknown population standard deviation. I will also use Chi-Square Test of Independence. HYPOTHESIS I think the average cost of tuition is lower than the average stated by “The College Board”. Ho: mu >/= $5836. H1: mu< $5836 (Claim) …show more content…
I would be inclined to say that this is true, but it would need to be tested further to say for sure. It would also be interesting to do this same testing for private colleges to see if they have the same results. I thought this was fun to come up with our own hypothesis and try to prove ourselves right or wrong using what we have learned all quarter. It was a good test of our skills and it made me get a better understanding of how the formulas really work rather than just doing the homework examples in the book. Excellent summary/critique and project overall. I’ve been teaching this class for over 8 years and your project is one of the best. Can I please use this as a sample?
Grading Rubric
Statistics Project, Spring 2007 Objective Met (C, B-) Exceeded (B, B+) Outstanding (A-, A)
Hypothesis and Proposal 10 points Statement of hypothesis in Statement of hypothesis in words and symbols. words or symbols, type of Description of test you’ll test you plan to use. use and how you plan to implement it. Brief description the data Description and set including outliers, gaps, interpretation of data set and other observations. (what and why). Statement of hypothesis in words and symbols, including motivation. Type of hypothesis test and plans for implementation. Description and interpretation of data set. Discussion of potential problems including how data could be improved.