Threesamma Joseph HLT-362V 9/7/2012 1. The answer is C‚ interval/ratio. The researchers analyzed the data as though it were interval/ratio level. They calculated the mean and standard deviation which is only appropriate for interval/ratio level data. 2. The mean post-test empowerment score for the control group is 97.12. This data is found explicitly in the chart of data given. 3. The baseline score mean is 14 and the post-test depression score mean is 13.36‚ meaning they were less depressed
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Name:_ Class: _GCU_HLT-362 V________________ Date: ___ □ EXERCISE 31 Questions to be Graded 1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? Table 2 reflects the Health Promotion Program’s effects on cardiovascular risk factors and Table 3 is reflective of the program’s effects on health behavior. 2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio
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Class: HTL-362V-0104 EXERCISE 20 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? Patient 3 scored highest on the preoperative CVLT Acquisition with a T score of 62 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score? Patient 4 scored lowest on the postoperative CVLT Retrieval with a T score of 23 3. Did the patient in Question 2 have more of a memory performance decline than average on
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1. The researchers analyzed the data they collected as though it were at what level of measurement? The answer is C‚ which is interval/ratio scale. 2. What was the mean posttest empowerment score for the control group? The mean posttest empowerment score for the control group was 97.12 3. Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. The data shows that there was an improvement in the mean
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EXERCISE 29 Questions to be Graded 1. Were the groups in this study independent or dependent? Provide a rationale for your answer. The two groups were independent since they were formed based on gender with no intent to match subjects on any variable. The men and women selected didn’t share any relationship or live in the same location. 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer
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Name: Zipporah Gachoya Class: HLT 362V Date: 08/10/2013 ■ Ex Questions to be graded: Exercise 31 6. What is the smallest‚ significant t ratio listed in Table 2? Provide a rationale for your answer. t = 2.03* the smallest t ratio listed in Table 2. It indicates that the cholesterol level change was statistically significant from pretest to 3 months. It is greater than the given value of p<0.05 7. Why are the larger t ratios more likely to be statistically significant? They
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EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
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Exercise 36 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1‚ 22) = 9.619‚ p = 0.005. Discuss each aspect of these results. The F-value is high enough at the 5% level of significance to suggest a significant difference between the control and treatment groups. The p-value 0.005 < 0.05 hence this suggests a rejection of the null hypothesis
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not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence. With 95% confidence Lower limit 3.81574825 Upper limit 21.9200493 With 95% confidence we cannot reject Ho since the statistic is inside
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Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g.‚ 0.01)? What are some situations in which you might accept a higher level (e.g.‚ 0.1)? EXERCISE 20 Questions to be Graded 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score? 3. Did the patient
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