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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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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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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Questions to be Graded 1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? Answer: The two groups that are reflected by the t rations in table 2 and 3 are the Program effects of cardiovascular risk factors (Table 2) and program effect on Health behavior (Table 3). 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 statistically significant? Provide a rationale
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standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can be calculated on an interval level of measurement. 3. Range could also be used to describe the length of labor since this statistic can be used on interval data with no natural zero point. 4. The distribution of scores was similar for the experimental and control groups for length of labor. The experimental group had a mean of 14.63 hours and the control group had a mean of
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1. The independent variable for A‚ B‚ and C is postnatal age in hours. The dependent variables for A‚ B‚ and C are systolic blood pressure‚ diastolic blood pressure‚ and mean blood pressure respectively. The relationships between these variable is direct and positive in that as the independent variable of postnatal age increases the corresponding dependent variable increases. 2. The independent and dependent variables in Figure 3 are the same as in Figure 2‚ as well as the relationship between
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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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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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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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