Statistical Analysis

Chapter 9, Case Study 1:

In this case, we will analyze the significance of the association between various different variables. Since the variables being considered are all categorical, the appropriate statistical tool is the Chi-Square test of independence.

Age versus Web use

The following table shows the corresponding contingency table:

We are interested in testing the following null and alternative hypotheses:

\[\begin{aligned}{{H}_{0}}:\,\,\, \text{Age}\text{ and }\text {Web use}\text{ are independent} \\ {{H}_{A}}:\,\,\,\text{Age}\text{ and }\text {Web use}\text{ are NOT independent} \\ \end{aligned}\]

From the table above we compute the table with the expected values

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Solution: The downloadable solution consists of 21 pages, 750 words and 6 charts.
Deliverable: Word Document