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STEP 1: Identify a random sample of n = 15 men and n = 15 women. How many times did you go to the gym


STEP 1: 
Identify a random sample of n = 15 men and n = 15 women.   How many times did you go to the gym last month?

You must answer this question: How do you establish that this sample is truly random?

STEP 2: Have each subject answer the question (How many times did you go to the gym last month?)and give a numerical response.

STEP 3: You will analyze your data and compute the following statistics for each group:

1) The Mean and standard deviation of the numbers

2) The Median for the data

3) The Mode for the data

4) The 90% confidence interval of the mean

STEP 4: Construct a complete hypothesis test and determine if the two groups have significantly different responses using α = 0.05.

STEP 5: Write a one page introduction to your research, discuss how you selected your sample (is it a random sample?) and write a one page conclusion.  Submit a full written report.

Written Report:

This MUST include:

  • Title Page
  • Abstract:  First paragraph that briefly summarizes the paper, the motivation for choosing your topic, and include a general comment about the conclusion. (Usually this is written last.)
  • List of data results
  • Statistical Measurements (From Step 3)
  • Description of what is happening in your data by making statistical measurements. Do not talk about what the data implies here. Just describe what is happening.  You will talk about what it implies in the conclusion section. The description of the data MAY include:
  • General Trends or patterns
  • Differences in measurements depending on stratification of data or over time.
  • Variation
  • Margin of Error and Confidence Interval
  • Experimental Probability and Probability Distribution Tables
  • Linear or Exponential model
  • Complete hypothesis test to determine if the two groups have significantly different responses using α = 0.05.
  • Labeled charts or graphs. Insert them where you discuss your findings and refer to the charts or graphs.

Conclusion.

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