5) Data Analysis: The following Descriptive and Inferential Statistics are provi

Question

5) Data Analysis: The following Descriptive and Inferential Statistics are provided for you to review Pretest Mean Posttest Mean Standard Deviation) (Standard Deviation) 7.14(.0)9.00 733) tive Statistics n Treatment Group 21 20 Control Group 4.35 (2.00) 103 (637) Group Reference Inferential Statistics Degrees of FreedomP value of a two ritical of a two (for addressing t- test tailed test tailed test Question 4) Compare the preted of the treatment to Analysis A the posttest of the 20 .0015 2.09 Compare the pretest of the control to the 000024 2.09 Analysis Bposttest of the 19 control Compare the pretest of the treatment to the pretest of the 04 2.14 39 Analysis C Compare the posttest of the treatment to 61 39 Analysis D the posttest of the control group Please addross the fallowino anestions

Explanation / Answer

Assumptions:
all the p values given are calculated and not the baselined one.

4.a) Looking at the p value both Analayis A & B shows significant gains influency pre to post at 1% level of significance (p value is lesser than 1%.).

b) where as Analysis D did not show shows significant gains in fluency pre to post as the p value is very high.

5.Teacher can designed her null hypothesis and alternative hypothesis as below for A,B and D

H0---> There is no diffference in mean between pre test and post test i.e affect of treatment is not significant

H1---> There is a diffference in mean between pre test and post test i.e affect of treatment is not significant

Since p < 1% so the H0 can be rejected and H1 can be accepted at 1% level of significance.

Similarly for Analyis B also H0 can be rejected and H1 can be accepted at 1% level of significance.

For Anslysis D since the p value is very high hence H0 can be accepted and H1 can be rejected at either of 1% or 5% level of significance.

6.As like any other scientific experiement, Control group always defines a set of data which does not recieve the treatment so can be used as a baseline data which isolates the affect of any independent variables and helps to ignore or rule out any alternate explanations for the treatment results.

7.The only question we can ask is that what is the attribute for which the mean is given to unerstand the treatment in a better way.Also it may be a good idea to ask for the entire population of data for treatment and control group so that we can draw multiple samples and test whether the result is same for all samples.

Related Questions

Navigate

• Browse (All)
• Browse 5
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.