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COMPUTE PAIRED-SAMPLES T TEST (next 6 questions)
Use the research study data below to conduct an Paired-Samples t test and answer the following 6 questions. Use standard decision rule of alpha level =.05, two-tailed hypothesis test.
Research Data: The Effect of Relaxation Training on Severity of Asthma Symptoms
Research in behavioral medicine suggests that stress can makes asthma symptoms worse for people who suffer from this respiratory disorder. To investigate, a local researcher decides to examine the effect of relaxation training on the severity of asthma symptoms. A sample of 10 asthma patients is selected for the study. During the week before treatment, the investigator records the severity of their symptoms by measuring how many doses of medication are needed for the asthma attacks. Then the patients receive relaxation training. For the week following training, the researcher once again records the number of doses required by each patient. The table below shows the data:
Conclusion?
What specific conclusion should be made based on the results of the Paired-Samples t test you performed? What can you conclude about the effectiveness of the relaxation training on severity of asthma symptoms? (write a brief narrative)
Where is the Effect?
If the ANOVA was Statistically Significant, Perform Tukey’s HSD Post Hoc Test using the on-line calculators to find out which pair, or pairs, of means are different. (This should already be in your results if using the on-line calculators).
Explain your findings in text here:
Conclusion?
What specific conclusion should be made based on the results of the ANOVA you performed? What can you conclude about the sprint-running times for the various smoking status groups?
Explain your findings in text here:
COMPUTE PEARSON CORRELATION COEFFICIENT
Use the research study data below to conduct a Pearson Correlation Coefficient r-test, and answer the following 5 questions. Use standard decision rule of alpha level =.05, two-tailed hypothesis test. Research Study:
The following data are from a study conducted by a researcher interested in predicting scores for a measure of cognitive function from the number of hours of sleep a person gets on average. The researcher obtained scores for both the number of hours of sleep and cognitive function from 10 subjects. Higher scores for cognitive function reflect higher levels of performance. Use a Pearson Correlation Coefficient test (alpha level=.05, two-tailed hypothesis test) to determine if there is a significant relationship between number of hours of sleep a person gets on average and cognitive functioning.
. Calculate the Test Statistic: Calculate the value for the Pearson Correlation Coefficient statistic. The calculated r-value is: [value]
How Big is the Effect?
Calculate the Effect Size (Coefficient of Determination) using r2 (Equation 13.3 by hand; or on-line calculator). The calculated Effect Size value is: [value]
Conclusion? What conclusion or specific statement can be made about the relationship between the hours of sleep and cognitive functioning?
Explain your findings in text here
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