1. Descriptive Statistics & Skewness
Remember: Please Sit with your groups.
Download files from course website for Feb. 1

2. Today’s Objective
Identify if a dataset is normally distributed using descriptive statistics on Excel
Figure out how to determine if the data is skewed (positively or negatively)
Fix skewness, if necessary

3. Scenario 1
A previous study done by a University Heath Center stated that most college students do not get a sufficient amount of sleep. It is said that insufficient sleep impacts our health, our moods, our GPA and our safety. Using the collected data from the students in this statistics course at Auburn University, run a descriptive statistics on the data from column Q_Sleep.

4. Questions
What does this data tell us about college students and their sleep schedules?
How can this information be used to your advantaged?

5. Scenario 2
While in college, it is possible to spend an excessive amount of money on eating out. Our schedules are a lot more busy and finding the time to buy groceries and prepare meals may be a bit difficult for some students. Using the collected data from the students in this statistics course at Auburn University, run a descriptive statistics on Q_Food.

6. Questions
What does this data tell us about college students and how much money they spend on eating out per week?
How can this information be used to your advantaged?

7. Your Turn!!! 
College students typically take between credit hours to be considered a full-time student. Using the data gathered from the students in this statistics course at Auburn University, run a descriptive statistics on the data from column Q_ to see the average amount of credit hours that a student from this course takes. Make sure the data is normally distributed, If not, decide whether you will square it or take the square root of the data to make it normal.