Writingup research results 2: Oneway ANOVAs and ttests
Rules: You will be completing this assignment to mastery which means you will continue to turn it in until you have received a 100%. I will be getting feedback to you within 4 days of you turning it in. You then turn it back to me within 4 days if revisions are needed. This process will be repeated until you receive 100%. If you do not receive 100% or you do not turn it in, then you will be deducted 10 pts of your final total mastery points. Thus this exercise is not worth points, but if you do not do it then you will be deducted points.
Initial due date: Feb 13 by 11:59 pm
Part 1—Ttests 1 / Independentsamples:
Suppose I was interested if women and men differ in their writing scores on an English exam. I give women and men an English test and then score it. Below are the results from my analyses. Writeup in full paragraph form the results. In other words, using proper language and numbers writeup the results like you would in a research paper in the results section.
Part 2—Ttests 2 / Pairedsamples:
Suppose I was interested if students differ in their writing scores and reading scores. To test this I give students a writing test and a reading test and compare their scores. Below are the results of my analysis. Writeup in full paragraph form the results. In other words, using proper language and numbers writeup the results like you would in a research paper in the results section.
Part 3—Oneway ANOVA
In class we discussed data from the Field (2013) textbook in which researchers were interested in the effects of different doses of Viagra on libido (or sex drive). In order to test this, participants were given either a low dose of Viagra, a high dose of Viagra, or they were given a placebo. Libido was then measured.
Below are the analyses of the ANOVA including post hoc tests using Tukey HSD. Writeup in full paragraph form the results. In other words, using proper language and numbers writeup the results like you would in a research paper in the results section.
Descriptives 
Libido 

N 
Mean 
Std. Deviation 
Std. Error 
95% Confidence Interval for Mean 
Minimum 
Maximum 
Lower Bound 
Upper Bound 
Placebo 
5 
2.20 
1.304 
.583 
.58 
3.82 
1 
4 
Low Dose 
5 
3.20 
1.304 
.583 
1.58 
4.82 
2 
5 
High Dose 
5 
5.00 
1.581 
.707 
3.04 
6.96 
3 
7 
Total 
15 
3.47 
1.767 
.456 
2.49 
4.45 
1 
7 
ANOVA 
Libido 

Sum of Squares 
df 
Mean Square 
F 
Sig. 
Between Groups 
20.133 
2 
10.067 
5.119 
.025 
Within Groups 
23.600 
12 
1.967 


Total 
43.733 
14 



Multiple Comparisons 
Dependent Variable: Libido 
Tukey HSD 
(I) Dose of Viagra 
(J) Dose of Viagra 
Mean Difference (IJ) 
Std. Error 
Sig. 
95% Confidence Interval 
Lower Bound 
Upper Bound 
Placebo 
Low Dose 
1.000 
.887 
.516 
3.37 
1.37 
High Dose 
2.800^{*} 
.887 
.021 
5.17 
.43 
Low Dose 
Placebo 
1.000 
.887 
.516 
1.37 
3.37 
High Dose 
1.800 
.887 
.147 
4.17 
.57 
High Dose 
Placebo 
2.800^{*} 
.887 
.021 
.43 
5.17 
Low Dose 
1.800 
.887 
.147 
.57 
4.17 
*. The mean difference is significant at the 0.05 level. 