homework help IIII
psi-psych23
lab9.docxLab 9
Research Scenario 1:
Dr. Spain is interested in exploring if flying skill is affected by sex or type of training. He measured the flying skill of the pilots that fly his fleet of F-18s on a ratio scale, as well as recorded their sex and training type. There were an equal number of people in each condition (n = 5).
|
|
|
Gender |
|
|
|
|
Male |
Female |
|
Training Type |
Simulator |
M = 8.6 s2 = 10 T = 43 |
M = 7.4 s2 = 14 T = 37 |
|
|
Real Planes |
M = 9.4 s2 = 16 T = 47 |
M = 8.6 s2 = 12 T = 43 |
What is the independent variable(s) / predictor(s)?
What is the dependent variable / criterion?
What type of statistical test would you use?
What is the null hypothesis in words and statistical terms / notation?
What is the alternative hypothesis in words and in statistical terms / notation (if possible)?
What is the critical value(s)?
If you reject the null, what would you conclude regarding the data?
Research Scenario 2:
Dr. Dunaway is interested in the shooting accuracy of police officers. She believes it may be predicted by their experience. She recorded the marksmanship of n = 16 officers of the Portsmouth Police Department, as well as the number of years they’ve been on the job. Their data are as follows:
|
ID |
Experience |
Accuracy |
|
5 |
72 |
|
|
2 |
3 |
69 |
|
3 |
6 |
74 |
|
4 |
4 |
65 |
|
5 |
2 |
61 |
|
6 |
8 |
83 |
|
7 |
10 |
94 |
|
8 |
12 |
97 |
|
9 |
4 |
70 |
|
10 |
7 |
85 |
|
11 |
9 |
85 |
|
12 |
6 |
73 |
|
13 |
8 |
93 |
|
14 |
1 |
76 |
|
15 |
3 |
60 |
|
16 |
8 |
91 |
|
|
M = |
M = |
What is the independent variable / predictor?
What is the dependent variable / criterion?
What type of statistical test would you use?
What is the null hypothesis in words?
What is the alternative hypothesis in words?
What is the critical value?
If you reject the null, what would you conclude regarding the data?
Research Scenario 3:
Research has shown that providing pets for the elderly reduce their stress, increase their enjoyment, reduce their blood pressure, and help them live longer. Dr. Nickerson wanted to investigate which type of pet would improve their outlook the most. She brought dogs, cats, and fish to a retirement home and let the seniors there spend time with each type of pet. Each senior spent 20 minutes with a cat on one day, spent 20 minutes with a dog on a different day, and spent 20 minutes with a fish on a third day. After each session the outlook of each patient was measured using an interval scale.
|
ID |
Dog |
Cat |
Fish |
|
1 |
9 |
12 |
5 |
|
2 |
8 |
15 |
8 |
|
3 |
10 |
16 |
8 |
|
4 |
9 |
9 |
6 |
|
5 |
8 |
7 |
2 |
|
6 |
6 |
16 |
7 |
|
7 |
4 |
7 |
2 |
|
8 |
9 |
11 |
3 |
|
9 |
6 |
8 |
5 |
|
10 |
5 |
9 |
4 |
|
|
M = ? T = ? |
M = ? T = ? |
M = ? T = ? |
What is the independent variable / predictor?
What is the dependent variable / criterion?
What type of statistical test would you use?
What is the null hypothesis in words and statistical terms / notation?
What is the alternative hypothesis in words and in statistical terms / notation (if applicable)?
What is the critical value?
If you reject the null, what would you conclude regarding the data?
Research Scenario 4:
Dr. Stangor investigated if study methods affected exam scores. He randomly assigned students into one of three study conditions: reading the book, doing practice problems, and watching television. Each of the conditions had an equal number of participants (n = 5). The data are as follows:
|
Book |
Problems |
TV |
|
96 |
73 |
68 |
|
81 |
81 |
63 |
|
89 |
95 |
51 |
|
68 |
90 |
47 |
|
81 |
76 |
76 |
|
M = 83 |
M = 83 |
M = 61 |
What is the independent variable / predictor?
What is the dependent variable / criterion?
What type of statistical test would you use?
What is the null hypothesis in words and statistical terms / notation?
What is the alternative hypothesis in words and in statistical terms / notation?
What is the critical value?
If you reject the null, what would you conclude regarding the data?
Research Scenario 5:
Dr. Phillips wants to see if IQ is related to weight. He administers intelligence assessments to 10 individuals, and weighs them on a scale. He obtains the following data:
|
ID |
IQ |
Weight (lbs) |
|
1 |
104 |
172 |
|
2 |
114 |
229 |
|
3 |
104 |
173 |
|
4 |
112 |
205 |
|
5 |
103 |
161 |
|
6 |
86 |
105 |
|
7 |
95 |
114 |
|
8 |
100 |
146 |
|
9 |
98 |
170 |
|
10 |
84 |
85 |
|
|
M = 100 |
M =156 |
What is the independent variable / predictor?
What is the dependent variable / criterion?
What type of statistical test would you use?
What is the null hypothesis in words and statistical terms / notation?
What is the alternative hypothesis in words and in statistical terms / notation?
What is the critical value?
If you reject the null, what would you conclude regarding the data?
The previous pages were all that were necessary to earn credit for this lab!
However, if you would like some extra practice with hand calculations, this next section provides that opportunity. You may also submit the following calculations if you would like your TA to check your work.
For any problems where you suspect a regression was the correct test, calculate the linear equation in addition to the relevant test statistic.
For research scenario 1:
Compute the relevant test statistic(s).
Compute an effect size measure.
For research scenario 2:
Calculate the relevant test statistic(s).
Compute an effect size measure.
For research scenario 3:
Compute the relevant test statistic(s).
Compute an effect size measure.
For research scenario 4:
Compute the relevant test statistic(s).
Compute an effect size measure.
For research scenario 5:
Compute the relevant test statistic(s).
Compute an effect size measure.
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