Working with Inferential Statistics

This topic helps you develop a basic understanding of statistics. Two distinct types of statistics are addressed: descriptive and inferential. In this assignment, you will have another opportunity to use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with t-tests and ANOVA.
Directions:

After you have completed the assigned readings and viewed the assigned videos, write a 500-750 word summary of your results. Use the data provided in the topic Resources, “HCUP State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following:

Describe the mean, median, and mode of discharges by state in 2014.
Compare the number of discharges in 2010, 2012, and 2015 in all states using an ANOVA. Are there significantly more discharges? Describe the assumption of variance between groups and within groups?

Compare the number of discharges in all states between 2010 and 2015 using an independent t-test. Are there significantly more discharges in 2015 versus 2010? Describe the assumption of variance using Levine’s test.
Using an ANOVA, compare the number of discharges in 2011 in:

– Northwestern states (Washington, Oregon, Idaho, Montano, Wyoming)
– Southwestern states (California, Nevada, Utah, Arizona, New Mexico, Oklahoma, and Texas)
– Central states (North Dakota, South Dakota, Nebraska, Kansas, Missouri, Iowa, Minnesota, Wisconsin, Illinois)
– Southeastern states (West Virginia, Virginia, North Carolina, South Carolina, Georgia, and Florida)
– Northeastern states (Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, Connecticut, Washington D.C., New York, New Jersey, Pennsylvania, Delaware, and Maryland)

Are there significantly more discharges? Describe the assumption of variance between groups and within groups?