Collect data with at least 30 cases and 2 quantitative variables. Collect the data for two variables where you THINK the variables are related.

Do the following:

1. Describe your variables (i.e. put them in context) and write why you think they are related

2. Construct a histogram (choose a “good” number of bins) for **each** variable

3. Describe the shape of each variable’s distribution (modality, symmetry and outliers)

4. Depending on the shape of your distributions, summarize each variable with appropriate measures of center and spread. Explain your choice of statistics.

5. Get the five-number summary and construct a boxplot for **each** of your variables

6. Calculate z-scores for the smallest and largest 3 cases (this will give you 6 z-scores) for each variable. Answer the following question: Relatively speaking, which variable seems to have more extreme values?

7. Create a scatterplot of the two variables (I strongly encourage you to use StatCrunch, Excel, or some other software program). Include a print-out of your scatterplot with your write-up. Looking at your scatterplot, describe the direction, form, and strength of the relationship between your two variables. Does is appear to be linear? Non-linear? No relationship?

8. Calculate the correlation coefficient for your two variables. Does the value of this statistic make sense (in terms of your analysis from #7)?

9. Calculate the regression line for your data. Explain why you classified one variable as “x” and the other as “y”. Interpret your slope parameter in the context of your data.

10. Include your data (with labels) in a table at the end of your write-up

This project must be typed (other than the boxplots, histograms, scatterplot, etc.), stapled, and neat in appearance. Each of the steps should require only a few sentences (at most).

Subject | Mathematics |

Due By (Pacific Time) | 03/07/2013 01:00 am |

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