# HLT 362V Module 3 Hypothesis Testing

## HLT 362V Module 3 Hypothesis Testing

Problem 1

1. There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug.

Problem 2

1. We wish to test the claim that the mean body mass index (BMI) of men is equal to the mean BMI of women. Use the data to the right to test this claim.

HLT 362V Module 3 Exercise 31

What are the two groups whose results are reflected by the t ratios in Tables 2 and 3?

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 for your answer.

Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is this t ratio statistically significant? What does this result mean?

What are the assumptions for conducting a t-test for dependent groups in a study? Which of these assumptions do you think were met by this study?

Compare the 3 months and 6 months t ratios for the variable Exercise from Table 3. What is your conclusion about the long-term effect of the health-promotion intervention on Exercise in this study?

What is the smallest, significant t ratio listed in Table 2? Provide a rationale for your answer.

Why are the larger t ratios more likely to be statistically significant?

Did the health-promotion program have a statistically significant effect on Systolic blood pressure (BP) in this study? Provide a rationale for your answer.

Examine the means and standard deviations for Systolic BP at pretest, 3 months (completion of the treatment), and 6 months. What do these results indicate? Are these results clinically important? Provide a rationale for your answer.

Is this study design strong or weak? Provide a rationale for your answer.

Would you, as a health care provider, implement this intervention at your facility based on the Total Risk Score results? Provide a rationale for your answer.

HLT 362V Module 3 Hypothesis Testing

HLT 362V Module 4 ANOVA Excel Worksheet

SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS

The following table contains a random sample of 40 women partitioned into three groups:

Group 1: ages below 20

Group 2: ages 20 through 40

Group 3: ages over 40

The values in the table are the systolic blood pressure levels

The hypothesis test:

H0:u1=u2=u3

H1: at least one of the treatment means is different

Use the Excel Analysis ToolPak to create an Anova – Single Factor table. Is there sufficient evidence to support the claim that women in the different age categories have different mean blood pressure levels? Give reasons for your decision.

HLT 362V Module 4 Exercise 36

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.

State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer.

The researchers stated that the participants in the intervention group reported a reduction in mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?

If the researchers had set the level of significance or = 0.01, would the results of p 0.001 still be statistically significant? Provide a rationale for your answer.

If F(3, 60) 4.13, p 0.04, and = 0.01, is the result statistically significant? Provide a rationale for your answer. Would the null hypothesis be accepted or rejected?

Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide a rationale for your answer.

If a study had a result of F(2, 147) 4.56, p 0.003, how many groups were in the study, and what was the sample size?

The researchers state that the sample for their study was 28 women with a diagnosis of OA, and that 18 were randomly assigned to the intervention group and 10 were randomly assigned to the control group. Discuss the study strengths and/or weaknesses in this statement.

In your opinion, have the researchers established that guided imagery (GI) with progressive muscle relaxation (PMR) reduces pain and decreases mobility difficulties in women with OA?

The researchers stated that this was a 12-week longitudinal, randomized clinical trial pilot study with 28 women over 65 years of age with the diagnosis of OA. What are some of the possible problems or limitations that might occur with this type of study?

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