Writing-up results to mastery 2

You will be completing this 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 off 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.

See assignment here: One-way ANOVA and t-tests.docx

Writing-up research results 2: One-way ANOVAs and t-tests

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—T-tests 1 / Independent-samples:

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. Write-up in full paragraph form the results. In other words, using proper language and numbers write-up the results like you would in a research paper in the results section.

Part 2—T-tests 2 / Paired-samples:

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. Write-up in full paragraph form the results. In other words, using proper language and numbers write-up the results like you would in a research paper in the results section.

Part 3—One-way 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. Write-up in full paragraph form the results. In other words, using proper language and numbers write-up 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
	N	Mean	Std. Deviation	Std. Error	Lower Bound	Upper Bound	Minimum	Maximum
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 (I-J)	Std. Error	Sig.	95% Confidence Interval
(I) Dose of Viagra	(J) Dose of Viagra	Mean Difference (I-J)	Std. Error	Sig.	Lower Bound	Upper Bound
Placebo	Low Dose	-1.000	.887	.516	-3.37	1.37
Placebo	High Dose	-2.800^*	.887	.021	-5.17	-.43
Low Dose	Placebo	1.000	.887	.516	-1.37	3.37
Low Dose	High Dose	-1.800	.887	.147	-4.17	.57
High Dose	Placebo	2.800^*	.887	.021	.43	5.17
High Dose	Low Dose	1.800	.887	.147	-.57	4.17
*. The mean difference is significant at the 0.05 level.

Writing-up results to mastery 2

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