I am psueo conducting an experiment on 144 freshmen high school students who are evenly divided into 6 groups. The treatment group are receiving a new instructional strategy that the control group is not receiving. A t-test was conducted after a pre-test of a CBM measurement, and the results indicated no significant differences between all the groups. What is the Experimental groups mean and standard deviation scores and what are the control groups mean and standard deviation scores?
To find the mean and standard deviation scores for the experimental groups and control groups, you would need the actual data for each group. Without the data, it is not possible to calculate the mean and standard deviation specifically for your experiment.
However, I can explain to you how to calculate the mean and standard deviation scores once you have the data. Here's what you would need to do:
1. Organize the data: Create a table or spreadsheet with the pre-test CBM measurements for each student in the six groups. Each group should have an equal number of students (24 in this case).
2. Calculate the mean: Add up the scores for each group and divide the total by the number of students in that group. This will give you the mean (average) score for each group.
3. Calculate the standard deviation: Subtract the mean score for each student within a group from their individual score, square the result, and sum up all the squared differences within a group. Then divide this sum by the number of students in the group. Finally, take the square root of this result. This will give you the standard deviation for each group.
Remember to perform these calculations separately for the treatment group (experimental) and control group.
Once you have the mean and standard deviation scores for each group, you can compare them to determine if there are any significant differences between the two groups.