## Exam 2

October 13, 2015

**Part 1: Take Home**

Due: Wed, Oct 21

Download:

- Exam 2.1 Cloudy Days Google Sheets (Google Sheets)
- Exam 2.1 Cloudy Days Excel (Excel format)

Like Exam 1, the last digit of your PID determines your data set.

Analysis:

You have been hired by a large Solar Energy company to identify the best locations in the United States to build solar arrays for energy production using the Cloudy Days data set.

- Summarize the data set with
**appropriate descriptive statistics** - Illustrate the data set with
**appropriate graphics** - Calculate
**Z-Scores**for every city/location in your data set and then**identify the city/location**with Z-Score**closest to -2, -1, 0, 1 and 2**(5 city/locations with their corresponding Z-Scores) - Calculate the probability of randomly selecting a city
**less cloudy than Pueblo**. - Calculate the probability of randomly selecting a city
**more cloudy than Denver**. - Calculate the probability of randomly selecting a city
**between Pueblo and Denver**. **Estimate**the**mean number of cloudy days**for all of the United States (hint: the population) and**produce confidence intervals**for your estimate at**95%**confidence and at**90%**confidence (2 separate sets of interval estimates).

Executive Summary:

- Write a
**1 page paper**summarizing your analysis and**providing recommendations for locating solar array**installations.

**[highlight color=”options: yellow, black”]Bring a print copy of your analysis and the 1 Page Executive Summary to the in-class exam on Wed Oct 21. [/highlight]**

## 1 Comment

Prof. Holman, I won’t be in class today as I just found out my mother has cancer. She has had it before but now its in stage four. I am going to see her now. I do have a question about the home test. You want us to estimate the mean for the whole US and our hint was the population. I don’t understand what you mean. Can you explain that to me, I would appreciate it. I will be in class for the test on Wednesday.

Thank you, Frank.

P.S. I check my e-mail regularly.