The team determined that to confirm the validity of their screening experiment they should compare
the test score results for some students that were at both the high setting and low setting within the last three years. This would allow them to compare the impact of the factors for individual students.
What I need to find out is:
For each of the three factors for which data is provided:
a. Write a null and alternative hypothesis statement about the impact of the factor on student test scores.
b. Test each of the hypotheses at 90% confidence level. The question shoud I use here to solve this problem?
There is paired data. And, we want to see which of the three (style, community involvement, or a two-parent home) has moved the average test scores the most. There is also a mention of a hypothesis test and a degree of confidence sought after.
c. Based on the results of steps a. and b., determine whether or not each of three factors have a significant impact on student test scores.
In other words, what I need to find out:
Write the null hypothesis statement for STYLE::::
Write the alternate hypothesis statement for STYLE:::
Does STYLE have significance?
Write the null hypothesis statement for COMM INVOLVEMENT::::
Write the alt. hypothesis statement for COMM INVOLVEMENT::::
Does COMMUNITY INVOLVEMENT have significance? :::
Write the null hypothesis statement for 2 parent family:::
Write the alt. hypothesis statement for 2 parent family:::
Do 2 PARENT FAMILY not have significance?
Fully formatted solution describes the hypothesis test used to complete the analyses.