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Continue working on your project. You will now analyze one quantitative variable and generate two graphics. Be sure to include and edits suggested in your instructor’s review or the peer review. Due Monday at Noon.
Please use the data you originally collected for part 1. You will add these new parts to report part 2.
1. For this project, you must find some published or existing data. Possible sources include: almanacs, magazines and journal articles, textbooks, web resources, athletic teams, newspapers, professors with experimental data, campus organizations, electronic data repositories, etc. Your dataset must have at least 25 cases, two categorical variables and two quantitative variables. It is also recommended that you are interested in the material included in the dataset.
2. Utilizing technology, analyze your dataset.
(a) For at least one of the quantitative variables, include summary statistics (mean, standard deviation, ve number summary) and two graphical displays (histogram and box plot). Are there any outliers? Is the distribution symmetric, skewed, or some other shape?
4. For this project you must find some published or existing data. Possible sources include: almanacs,magazines and journal articles, textbooks, web resources, athletic teams, newspapers, professors with experimental data, campus organizations, electronic data repositories, etc. Your dataset must have at least 25 cases, two categorical variables and two quantitative variables. It is also recommended that you are interested in the material included in the dataset.
5. Decide what to analyze.
(a) Set up a hypothesis test for a quantitative variable. You may compare to a suspected parameter or compare two computed statistics. State your null and alternative hypothesis in the correct formatting:
H0: parameter = value
Ha: parameter ≠ value
(b) Set up a hypothesis test for a categorical variable. You may compare to a suspected parameter or compare two computed proportions. State your null and alternative hypothesis in the correct formatting:
H0: p = value
Ha: p ≠ value
6. Add to your report!
(a) Include all items requested above. Include text about each and why these hypothesis decisions were made
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NB: We do not sell prewritten papers. All essays are written from scratch according to specific needs and instructions