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# Statistics Extra Practice

Question # 00013118
Subject: Statistics
Due on: 04/22/2014
Posted On: 04/22/2014 04:20 AM

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Statistics Extra Practice

-These are hypothesis tests. You must determine which test to perform and which test statistic to calculate. Show all work, step by step, calculations labeled. Round to 2 decimal pages; do not round values obtained from tables.

Three problems:

1. A sample of freshmen takes a reading comprehension test and their scores are summarized below. If the mean for the general population on this test is ?=12, can you conclude that this sample is significantly different from the population?

Sample scores: 16, 8, 8, 6, 9, 11, 13, 9, 10

a. Conduct a hypothesis test with ?=.05.
b. Write up the results using APA format.

2. A psychologist studies the effect of frequent testing on perception of course material. In one of the professor’s sections, students are given quizzes each week. The second section receives only two tests during the semester. At the end of the semester, both sections receive the same questionnaire. Summarized below is a random sample of the perception scores from 9 students in each section.

Frequent Quizzes: 4, 8, 3, 10, 5, 6, 6, 2, 10
Two Exams: 5, 7, 9, 9, 10, 10, 12, 14, 14

a. Do the data indicate that testing frequency has a significant effect on performance? Conduct a hypothesis test with ?=.05.
b. Compute r2 to measure the size of the effect.
c. Compute a 90% confidence interval to estimate the population mean difference.
d. Write up your results using APA format.

3. A researcher would like to determine if relaxation training will affect the number of headaches for chronic headache sufferers. For a week prior to training, each subject records the number of headaches suffered. Subjects then receive relaxation training and for the week following training the number of headaches is again measured. The change in number of headaches before and after training (differences scores) is as follows (minus indicates a reduction in number of headaches):

Difference scores: -5, -1, -4, -3, -6, -8, 0, +1, -1

a. Is there an effect of relaxation training? Conduct a hypothesis test with ?=.05.
b. Compute Cohen’s d to measure the size of the effect.
c. Write up the results using APA format.

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#### Statistics Extra Practice Solution

Tutorial # 00012673
Posted On: 04/22/2014 04:21 AM
Posted By:
expertden
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Tutorial Preview …Write xx the xxxxxxx using APA xxxxxx T-test for xxxx was xxxxxxxxx xx determine xxxxxxx the sample xx freshmen (M x 12, xx x 3, x = 9) xxxxxxxxx differently from xxxxxxx population xx x 12) xxxxxxx indicated that xxxxx wasn’t sufficient xxxxxxxx that xx xxxxx differently xxxx general population xxxxx = -2 xxx p xxxx x 05) x A psychologist xxxxxxx the effect xx frequent xxxxxxx xx perception xx course material xx one of xxx professor’s xxxxxxxxx xxxxxxxx are xxxxx quizzes each xxxx The second xxxxxxx receives xxxx xxx tests xxxxxx the semester xx the end xx the xxxxxxxxx xxxx sections xxxxxxx the same xxxxxxxxxxxxx Summarized below xx a xxxxxx xxxxxx of xxx perception scores xxxx 9 students xx each xxxxxxx xxxxxxxx Quizzes: xx 8, 3, xxx 5, 6, xx 2, xx xxx Exams: xx 7, 9, xx 10, 10, xxx 14, xx x Do xxx data indicate xxxx testing frequency xxx a xxxxxxxxxxx xxxxxx on xxxxxxxxxxxx Conduct a xxxxxxxxxx test with xx 05 xxx…
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Statistics_Extra_Practice_Solution.docx (16.9 KB)
Preview: 2 xxxxxxxxxxx region: x < -2 xx or t xxxx 2 xxxx xx rejected xx test statistic xxxxx in rejection xxxxxx There xx xxxxxxxxxx evidence xxxx testing frequency xxxxxxx performance b xxxxxxx r2 xx xxxxxxx the xxxx of the xxxxxx r² = x 89^2 x xx 89^2 x 16) = x 34This indicates x large xxxxxx xxxx c xxxxxxx a 90% xxxxxxxxxx interval to xxxxxxxx the xxxxxxxxxx xxxx difference xxx 90% confidence xxxxx with df x 16, xxxxxxx x 1 xxxxxxxx confidence level x (6 - xxx - x xxx *sqrt((2 xxxx + 3^2)/9) x -6 42Upper xxxxxxxxxx level x xx - xxx + 1 xxx *sqrt((2 87^2 x 3^2)/9) x xx 58So, xxx confidence interval xxx population mean xxxxxxxxxx is xxx xxx -1 xxx d Write xx your results xxxxx APA xxxxxx xx independent xxxxxx t-test was xxxxxxxxx to determine xxxxxxx frequency xx xxxxx affect xxxxxxxxxxx performance Results xxxxxxxxx that the xxxxxxxxxx between xxxx xxxxxxxxxx score xxx students giving xxxxxxxxx quizzes (M x 6, xx x 2 xxx n = xx and.....
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