**KIM WOODS** Statistics Project, Part 2: Descriptive Statistics and Hypothesis

**PLEASE USE ATTACHMENTS FOR REFERENCES**

Now that you have imported your data and run frequency tables, take the next step and run descriptive statistics. Remember to calculate the descriptive statistics for the appropriate variables in your data set. Descriptive statistics are most appropriate for interval and ratio data. Create a hypothesis for the data; it can be anything, based on the variables you have in your data. Creating these hypotheses affords you the opportunity to think like a researcher to better understand and critique research articles you read.

Use IBM SPSS software to calculate the appropriate descriptive statistics for the variables designated in your documentation. Descriptive statistics are most appropriate for interval and ratio data.

Create a hypothesis for the data; it can be anything, based on the variables you have in your data. For example: Teaching Method X provides higher test scores than Teaching Method Y. 

Create a null hypothesis, such as the following: Teaching Method X scores are equal to Teaching Method Y scores.

Summarize the results of the calculation in 45 to 90 words.

Submit the IBM SPSS output and your summary to your instructor.