|
|
|
Module
Ten
![]()
The Hypothesis:
Reading ability as measured by the ITBS will change for students who
receive special tutoring in reading. The Null Hypothesis:
There will be no change in reading ability as measured by the ITBS
for students who receive special tutoring in reading. The first step
is to enter the scores on the pre-test for reading scores on the ITBS
and the post-test scores for reading on the ITBS. Then look up in a Table of T values to determine what value is the cutoff for rejecting the null hypothesis. The degrees of freedom for one group is the sample size minus one. For a sample size of 5, the degrees of freedom is 4. For an alpha of .05, degrees of freedom of 4, and a two-tailed test, the t value will need to be greater than 2.776.
The third step is to sum the difference scores and to calculate the mean of the difference scores. Remember, the mean is calculated by dividing the sum by the number of students.
Remember your signs. When you subtract a negative number from any other number, the absolute value of the number increases.
Sum the squared deviation scores. Calculate the variance by dividing the sum of the squared deviation scores by the number of students minus one. In this example 917.2 / 4 = 229.3. To get the standard deviation, take the square root of the variance. In this example 229.2 = 15.143. Always carry the decimal places to the third place.
REMINDER:
When we looked
up in a Table of T values to determine what value is the cutoff for
rejecting the null hypothesis, using our sample size of 5, the degrees
of freedom of 4, and an alpha of .05, and a two-tailed test, the t
value needs to be greater than 2.776. REMINDER: The Null Hypothesis: There will be no change in reading ability as measured by the ITBS for students who receive special tutoring in reading. Interpretation: Whatever changes were observed between pre and post tests were due to chance. The special tutoring in reading had no effect on reading ability in this sample as measured by the ITBS. |
Readings Chapter 14 (Descriptive Statistics); Chapter 15 (Inferential Statistics) is highly recommended
|
![]() |
![]() |
![]() |
Course
content developed by Cindy Conley, Ph.D and Andrew McConney, Ph.D. All rights reserved. Do not reproduce without permission. (c) 2004 Florida Gulf Coast University |
This
is an official FGCU web page. FGCU is an equal opportunity/ affirmative action institution. |