"Alone we can do so little; together we can do so much." - Helen Keller

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I am a wife of 21 years (almost 22) to Don, and we have two sons and one cocker spaniel (Daisy). Dylan is 19 years old and attends WVU in pursuit of a Chemical Engineering Degree. Matthew is a Junior at BHS, plays ice hockey constantly and has big dreams of becoming a doctor someday. My greatest joy is spending time with them all, which this class is really putting a damper on.

Wednesday, October 19, 2011

Data Preparation

Today's assignment is to identify a dependent and an independent variable and to develop two research questions to examine using data given by Dr. Pierce.  In addition, a hypothesis and null hypothesis need to be stated for each research question.  First step for me was to define the different types of variables.  I found that there are several different types: discrete, categorical, numerical, non-numerical, and continuous.  Next, I needed to refresh myself on independent and independent variables. 


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 (above age 35) 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 age and Millenial score?
  • Hypothesis - Females have a higher Millenial score.
  • Null hypothesis - Gender has no effect on Millenial 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.
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