Hypothesis Testing Explained and Explored

,This week you will begin working on Phase 4 of your course project. For Phase 4 of your course project, you will want to review your instructor’s feedback from your Phase 1, Phase 2, and Phase 3 submissions to make any necessary corrections. Remember if you have questions about the feedback to ask your instructor for assistance.

Corrections:

Phase 1: incorrect:  median (incorrectly rounded), variance (divide by 59 instead of 60), standard deviation.

Phase 2: Confidence intervals were incorrect, but only slightly – your s.d. was incorrect and should have been 8.92 – use this going forward.

The CI = x-bar +/- t * s / sqrt (n),

Phase 3:

Use p for proportions or percents, this was a test of means, so use “mu” in hypotheses statements; μ = 65 for example;

Your critical value was incorrect; use t-table instead of z;

This whole exercise was just like example #4 in the Mod 3 course materials – Hypothesis Testing Explained and Explored;

Once you have made your corrections, you will compile your information from Phase 1, Phase 2, Phase 3 and your final conclusion into one submission and submit this as your rough draft for Phase 4 of the course project. Below is a summary of the expectations for Phase 4 of the course project:

1. Introduce your scenario and data set.

• Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.
• Classify the variables in your data set.
  • Which variables are quantitative/qualitative?
  • Which variables are discrete/continuous?
  • Describe the level of measurement for each variable included in your data set.

1. Discuss the importance of the Measures of Center and the Measures of Variation.

• What are the measures of center and why are they important?
• What are the measures of variation and why are they important?

1. Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.

• Mean
• Median
• Mode
• Midrange
• Range
• Variance
• Standard Deviantion