Data Analysis/ Research Question and Hypothesis

Using the data that was provided to us I formulated my Research Questions, Hypothesis, and Null Hypothesis.

Research Questions:
    1. Why do the Males have more discussion postings than females?
    2. Why do the Females have less discussion postings than males?

Hypothesis:
    1. Males have more discussion postings due to their lower Millennial Age Score.
    2. Females have less discussion postings due to their higher Millennial Age Score.

Null Hypothesis:
  The number of Blog Postings is not dependent upon being male or female.

With the data given our age and gender would be considered as the Independent Variables. The Discussion Posts, Millennial Age, Blog Posts, Personality, Fake Quiz, Browser, and Teaching/Non Teaching would be the Dependent Variables.

I began by sorting the information into two groups; male and female. Then I went through and found the averages of each sub heading per gender. I document the averages and compared the information to formulate my information.

Females: 22 total
D posts: 344=15.64
Mill Age:  72.73
Age: 31.82
B Posts: 15
Personality: 3/22 = 13.6% on all  of the following/ ISFP, ISFJ, INFP, INFJ, ESFJ
T/ NOT T: 72.73% are teaching
Quiz: 74.59%
Browser: Internet Explorer

Males: 7 total
D. Posts: 116=16.57
Mill Age: 69.57
Age: 33.29
B Posts: 16.86
Personality: ESFJ = 2/7= 28.5%
T/NT= 4/7 teaching =57.15%
Quiz: 79%
Browser: S 2/7=28.5%
              IE 2/7=28.5%
              FF 2/7 = 28.5%

Standard #5 would best match up with this activity. This again would involve self reflection and growth with data provided by assessments with the students. In conducting this activity the outcome would be the improvement of student learning. This would make the teacher become more involved in the decision making, development, and modeling of technology skills. This can be conducted throughout the school year to appropriately assess professional practice and use of Excel to support student learning.