In a study of marital satisfaction, a random sample of 12 couples married for between five and fifteen years was obtained. Each couple was interviewed by the researcher and rated on a Marital Cohesion (MC) scale. MC MC2 14 196 9 81 7 49 14 196 15 225 13 169 10 100 17 289 11 121 18 324 14 196 14 196 Σ- 156 Σ(x2 ) -2142 %D A. What is the mean of Marital Cohesion? 1/2 B. What is the standard deviation of Scores for hypothesis testing? (Round to the nearest hundredths) C. Is there a significant difference between the sample mean of scores and the population mean of 15? Carry out all 9 steps of the hypothesis testing.
In a study of marital satisfaction, a random sample of 12 couples married for between five and fifteen years was obtained. Each couple was interviewed by the researcher and rated on a Marital Cohesion (MC) scale. MC MC2 14 196 9 81 7 49 14 196 15 225 13 169 10 100 17 289 11 121 18 324 14 196 14 196 Σ- 156 Σ(x2 ) -2142 %D A. What is the mean of Marital Cohesion? 1/2 B. What is the standard deviation of Scores for hypothesis testing? (Round to the nearest hundredths) C. Is there a significant difference between the sample mean of scores and the population mean of 15? Carry out all 9 steps of the hypothesis testing.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![In a study of marital satisfaction, a random
sample of 12 couples married for between
five and fifteen years was obtained. Each
couple was interviewed by the researcher and
rated on a Marital Cohesion (MC) scale.
MC MC2
14 196
9 81
7 49
14 196
15 225
13 169
10 100
17 289
11 121
18 324
14 196
14 196
Σ- 156 Σ(x2)=2142
A. What is the mean of Marital Cohesion?
1/2
B. What is the standard deviation of Scores for
hypothesis testing? (Round to the nearest
hundredths)
C. Is there a significant difference between
the sample mean of scores and the
population mean of 15? Carry out all 9 steps
of the hypothesis testing.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb16d438a-6747-410f-961a-8af2d5e6e1f5%2F6e7e99e0-5b44-436a-88a8-80ebb575b523%2F68a8fvf_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In a study of marital satisfaction, a random
sample of 12 couples married for between
five and fifteen years was obtained. Each
couple was interviewed by the researcher and
rated on a Marital Cohesion (MC) scale.
MC MC2
14 196
9 81
7 49
14 196
15 225
13 169
10 100
17 289
11 121
18 324
14 196
14 196
Σ- 156 Σ(x2)=2142
A. What is the mean of Marital Cohesion?
1/2
B. What is the standard deviation of Scores for
hypothesis testing? (Round to the nearest
hundredths)
C. Is there a significant difference between
the sample mean of scores and the
population mean of 15? Carry out all 9 steps
of the hypothesis testing.
![Summary of the 9 Steps for Hypothesis Testing
1. Null and alternative hypothesis.
2. Two-tailed test.
3. Select a significant level alpha.
4. Determine T test OR Z test.
5. Terit OR Zerit (Draw a graph)
6. Calculate Tobt or Zobt.
7. Check whether the observed value (obt) falls in the critical
region.
8. Reject or Fail to Reject Null Hypothesis.
9. Therefore, there isa statisticallysignificantdifference
between the sample mean and the population mean OR
there is no significant difference between the two means.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb16d438a-6747-410f-961a-8af2d5e6e1f5%2F6e7e99e0-5b44-436a-88a8-80ebb575b523%2Fb36dpws_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Summary of the 9 Steps for Hypothesis Testing
1. Null and alternative hypothesis.
2. Two-tailed test.
3. Select a significant level alpha.
4. Determine T test OR Z test.
5. Terit OR Zerit (Draw a graph)
6. Calculate Tobt or Zobt.
7. Check whether the observed value (obt) falls in the critical
region.
8. Reject or Fail to Reject Null Hypothesis.
9. Therefore, there isa statisticallysignificantdifference
between the sample mean and the population mean OR
there is no significant difference between the two means.
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