When I conducted my t-test to test the difference between
the male and female scores, I was able to see the results of a one tail and a
two tail test. My one-tail test resulted with 1.60684.. and my two tail
resulted in 3.21368. The one-tail test had a P value of greater than .05 which
means that there was no significant difference. The two-tail test results were
greater than .05, which shows that there was no significant difference. Without
a significant difference, we must accept the hypothesis showing that there was
no difference between the male and female scores.
In my future classroom, I would like to create a student
performance evaluation for the first few weeks of the school year and do the
same evaluation at the end of the year. This way I am not basing my student
comparison solely on test results, but instead on a performance evaluation so
that I can see how my students are performing in class. The evaluation could
show everything from content comprehension to student participation to show a
comprehensive view of their classroom involvement. Comparing their results from
the beginning of the year to the end could demonstrate how effective my
classroom and teaching techniques are as well as showing my student’s
perspective.
I would use the beginning of the year scores and the end of
the year scores as the categorical independent variable. I would use a
comparison test in a non-special needs classroom as the continuous dependent
variable. My research question is to see if my students improve over the year
in comparison to their general education classroom peers. My hypothesis is that
my students will improve along the same rate as their general education peers.
My null hypothesis would be no significant difference.
Correct answer = reject the null hypothesis (no difference). P value is less than 0.05
ReplyDeletePvalue is in scientific notation because it is so friggin small E-7 means spaces to the right of the decimal.
There are scientific notation calculators on the web.
There is a difference and it is probably (95%) not related to measurement error.