T-Test

The p value being 1.6 indicates a likelihood that the hypothesis is true, thus rejecting the null hypothesis, that gender is a factor is 4th grade math performance.

I teach a multitude of different categories of students; however, two to consider would be both ELL students and Special Needs students.

Research Question:  Does a student's category(ELL vs. Special Needs) impact 'Be A Better Reader' scores?

Using this informal reading assessment, I can obtain the scores for all of my students and compare the results between the ELL and Special Needs populations.

The dependent variable is: students in my reading classes only.
The independent variables are: ELL or Special Needs.

The null hypothesis would be:  There is no difference in reading scores between the two populations of students in my reading classes, ELL vs. Special Needs.

The hypothesis:  There is a difference in reading scores between the two populations of students in my reading classes, ELL vs. Special Needs.

This is an interesting research topic in that it compares to unique populations that are mixed into the same class.  My guess is that the ELL students may not score as high as the Special Needs students due to the simple fact that they have not had the exposure to our language that the Special Needs students have that are native to our culture and language.  The other reason being that many of the ELL students may not have had as much education or any education in their native countries; whereas, Special Needs students from our country are often identified early on in their lives and receive education and learning strategies to try to get them caught up with the 'norm'.

ISTE standard #4 applies to this lesson in our use of data in providing equitable access to all learners and addressing the diverse needs of all learners.