1. Excel Exam Review
March 29, 2016.

2. What you must know
You must be able to identify which statistical test is to be used based on the scenario
Once the test is identified, you must be able to go through the correct steps for the test using excel.
Don’t Panic! It is exactly what we have been doing all semester AND you will have more practice today.

3. When to use each test Z-test: Comparing a sample to a known population
Both population parameters (mean & standard deviation)
Single-Sample T-Test: Comparing a sample to a known population
One population parameter (mean)
Paired-Sample T-Test: comparing a sample to a sample
No population parameters; correlation/relationship between the two samples
Independent-Sample T-Test: Comparing a sample to a sample
No population parameters; samples are independent of each other; observations are measured once and only once.

4. Scenario A
You would like to see if there is a difference between the amount of time spent on social media and people’s satisfaction in their romantic relationship. You use two separate groups of individuals to give you a rating on the number of hours they spend on social media (1 = 2.25 hours or less; 2 = more than hours) and their level of satisfaction in their romantic relationship rated on a 7-point scale, with 1=very dissatisfied and 7=very satisfied. Use an alpha of .05.

5. Scenario b
You would like to find out if there is a difference in the amount of money that AU college students spend on leisure activities compared to the overall population of college students. You use a sample of collected data from this statistics course to make the comparison. Use a statistical test to find out if AU students spend more or less than the average amount of money on leisure activities of 87.5 (Frazier, 2013). Use an alpha (probability of a Type I error, p-level) of .05.

6. Scenario C
Research has shown that college students today are working more hours a week than they have been in the past. Suppose you would like to know if students at Auburn University typically work more hours in a given week compared to the overall population of college students. Students typically work an average of 12 hours in a given week with a standard deviation of 19 hours (Citigroup, 2013). We collected data from students in this statistics course as a sample to compare to the overall population. Use an alpha (probability of a Type I error, p-level) of .05.

7. Scenario D
A recent study done by Family Share shows that big families offer numerous benefits for children, and that individuals that grew up in a large family typically want to have more children when they start their own family. You would like to test that hypothesis to see if it applies to college students using students in this statistics course at Auburn University. Use an alpha of .01.