Hypothesis Testing

This assignment was to use data given by Dr. Pierce to test for statistical significance using different variables.  This was an extension of the last assignment in which I had to come up with a hypothesis and a null hypothesis using the data given.  For this assignment I used a T-Test to compare different groups (or variables).

The first test that I conducted included age.  Since age in a continuous variable, as opposed to discrete, the mean of 32 was the cut-off to create 2 groups.  I first sorted the data by "age" and labeled 32 and above as "Age High" and 30 and below as "Age Low."  I then used the two groups to determine if age had any statistical significance on quiz scores, discussion posts and Millineal score.  To conduct the test, I clicked on tools then Data Analysis.  From there, I chose "t-Test: 2 Sample Assuming Equal Variances" and entered the the appropriate information by highlighting for score, then discussion posts, and finally Millenial Score.    I then repeated the tests sorting by gender, teaching, and browser.  My tests are as follows:

        

 

The statistical significance is shown with an asteric with a P value less than .05.

For the last assignment my questions are as follows:

Question 1

• Dependent variable - Age
• Independent variable - Quiz score

What is the relationship between non-traditional students (35 and above) and quiz scores?

• Hypothesis - Non-traditional students (age 32 and above) score higher scores on quizzes.
• Null Hypothesis - Age has no effect on quiz scores.

 Question 2

•  Dependent variable - gender
• Independent variable - Millenial score

What is the relationship between gender and Millenial score?

• Hypothesis - Females have a higher Millenial score.
• Null hypothesis - Gender has no effect on Millenial scores.

My t -Test results show no significance between higher age and quiz scores and females and higher Millineal Scores.

The ISTE NETS T standard that relates to this assignment is number three.  Teachers should be able to create and/or conduct research and analyze data for the betterment of students.