1. A researcher was doing a study on how well a call center response plan was being utilized by a group of patients. In the data in "chi-square.xlsx," the number of calls is shown in column A, and the number of incidents is shown in Column B. We can take the number of incidents to be the expected value for the data. A nice easy-to-use calculator can be found at https://www.socscistatistics.com/tests/goodnessoffit/default2.aspx.

This question has 3 parts.

1. Why do we use chi-square and other non-parametric tests for some data?
2. Conduct a chi-square goodness-of-fit test to the data and report your results.
3. In statistics we often discuss a Type I error. What does it mean if we have observed a Type I error?