Instructions: Answer the questions below. Show all work, including every calculation and every formula, with proper symbols. Oishi and Shigehiro (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced 5 or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has an average score of u = 40. The well being scores for this sample are as follows: X 38 37 41 35 42 40 33 33 36 38 32 39 1. On the basis of this sample, is well-being for frequent movers significantly different from well-being in the general population? Use a two-tailed test with a = .05. (Note that you will need to use and clearly show-all 4 steps of hypothesis testing to answer this question. I have labeled the steps below to help.) Step 1: State the hypotheses. Step 2: Determine the decision criteria (i.e., use the t distribution table to find the critical t values). Step 3: Calculate the test statistic (in this case, a single sample t statistic). Step 4: Make a decision to reject or retain the null

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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Chapter 9 Problem
Instructions: Answer the questions below. Show all work,
including every calculation and every formula, with proper
symbols.
Oishi and Shigehiro (2010) report that people who move from
home to home frequently as children tend to have lower than
average levels of well-being as adults. To further examine this
relationship, a psychologist obtains a sample of n = 12 young
adults who each experienced 5 or more different homes before
they were 16 years old. These participants were given a
standardized well-being questionnaire for which the general
population has an average score of μ = 40. The well being scores
for this sample are as follows:
X
38
37
41
35
42
40
33
33
36
38
32
39
1. On the basis of this sample, is well-being for frequent
movers significantly different from well-being in the
general population? Use a two-tailed test with a = .05.
(Note that you will need to use and clearly show - all 4
steps of hypothesis testing to answer this question. I have
labeled the steps below to help.)
Step 1: State the hypotheses.
Step 2: Determine the decision criteria (i.e., use the t
distribution table to find the critical t values).
Step 3: Calculate the test statistic (in this case, a single
sample t statistic).
Step 4: Make a decision to reject or retain the null
27%
Edit
Transcribed Image Text:. Verizon Done More 1:01 PM Chapter 9 Problem Instructions: Answer the questions below. Show all work, including every calculation and every formula, with proper symbols. Oishi and Shigehiro (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced 5 or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has an average score of μ = 40. The well being scores for this sample are as follows: X 38 37 41 35 42 40 33 33 36 38 32 39 1. On the basis of this sample, is well-being for frequent movers significantly different from well-being in the general population? Use a two-tailed test with a = .05. (Note that you will need to use and clearly show - all 4 steps of hypothesis testing to answer this question. I have labeled the steps below to help.) Step 1: State the hypotheses. Step 2: Determine the decision criteria (i.e., use the t distribution table to find the critical t values). Step 3: Calculate the test statistic (in this case, a single sample t statistic). Step 4: Make a decision to reject or retain the null 27% Edit
. Verizon
Done
More
1:01 PM
40
33
33
36
38
32
39
1. On the basis of this sample, is well-being for frequent
movers significantly different from well-being in the
general population? Use a two-tailed test with a = .05.
(Note that you will need to use and clearly show - all 4
steps of hypothesis testing to answer this question. I have
labeled the steps below to help.)
Step 1: State the hypotheses.
Step 2: Determine the decision criteria (i.e., use the t
distribution table to find the critical t values).
Step 3: Calculate the test statistic (in this case, a single
sample t statistic).
Step 4: Make a decision to reject or retain the null
hypothesis.
2. Compute the estimated r² to measure the size of the
difference.
3. Write a sentence showing how the outcome of the
hypothesis test and the measure of effect size would appear
in a research report (i.e., in APA format). You will find an
example on page 311 of your book, in the "In the
Literature" section. Use the first example. (Be sure to read
this section thoroughly for this and future problems.)
27%
Edit
Transcribed Image Text:. Verizon Done More 1:01 PM 40 33 33 36 38 32 39 1. On the basis of this sample, is well-being for frequent movers significantly different from well-being in the general population? Use a two-tailed test with a = .05. (Note that you will need to use and clearly show - all 4 steps of hypothesis testing to answer this question. I have labeled the steps below to help.) Step 1: State the hypotheses. Step 2: Determine the decision criteria (i.e., use the t distribution table to find the critical t values). Step 3: Calculate the test statistic (in this case, a single sample t statistic). Step 4: Make a decision to reject or retain the null hypothesis. 2. Compute the estimated r² to measure the size of the difference. 3. Write a sentence showing how the outcome of the hypothesis test and the measure of effect size would appear in a research report (i.e., in APA format). You will find an example on page 311 of your book, in the "In the Literature" section. Use the first example. (Be sure to read this section thoroughly for this and future problems.) 27% Edit
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