STAT 101 Pierce College Calculating the Observed Statistic Questions
Question Description
HYPOTHESIS TESTING USING ONE SAMPLE T-TEST
READ:
Conduct a one-sample t-test using SPSS for the following problems using the appropriate given data file by below by following these instructions:
Calculating the Observed Statistic
- Click on Analyze, select Compare Means, and click on One Sample T-test.
- Select variable (move it into the Test Variables field).
- In the field Test Value, the test value given for the problem (this is your null mean).
- Click on the Options button.
- Since we choose alpha = .05, we leave the value of 95 in the field Confidence Interval (under Options).
- Click on the Continue and OK.
COPY BOTH TABLES AND PASTE THEM UNDER STEP 3 FOR EACH RESPECTIVE PROBLEM
Assignment
In your answers, list clearly all 4 steps (this includes the discussion of what error you could have made), just as was done in the sample problem. Also include the output from the t-test analysis. Note that you will have to create a new data window to enter both the body temperature and sleep variable. The actual procedures for the analysis are virtually identical to the steps followed in the lab example.
- Mothers with young children often complain that they do not get enough sleep. Suppose that you obtained a measure of the typical amount of sleep of 9 mothers of children under 1 year of age and found the following duration (in hours): 6.4, 7.5, 6.9, 7.3, 7.6, 7.1, 6.5, 7.7, and 7.8
- A medical researcher attempted to learn if a disease is accompanied by an increased in body temperature. She measured the body temperature of 12 people diagnosed as having the disease and obtained the following temperatures (in degrees F): 99.3, 99.1, 100.4, 98.4, 98.2, 98.9, 99.7, 100.1, 100.7, 99.0, 98.8, 99.2.
Does the mean amount of sleep from these mothers differ significantly from a hypothesized population mean of 7.7 hours sleep per night? Use a two-tailed test and a 0.05 significance level
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Additional question: Could your decision about the statistical hypotheses represent the occurrence of a Type I error? Why or why not?
Does the mean body temperature of these individuals differ from a hypothesized population mean of 98.6 degree F? Use a two-tailed test and a 0.05 significance level
Step 1:
Step 2:
Step 3:
Step 4:
Additional question: Could your decision regarding the statistical hypothesis represent a Type II error? Explain your answer.
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