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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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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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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Provide a rationale for your answer. In this study‚ t= -3.15 describes the mental health variable. It is significant because they are the variables being tested since the p value is 0.002 and the alpha is 0.05‚ the difference can cause the null hypothesis to be rejected. 3. Is t = −1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. It is significant because the p= 0.049 value is smaller than the alpha that was set for this study (0.05). This
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understanding of hypothesis testing. The textbook explained the aspects and steps of hypothesis testing in a legible fashion‚ while the video helped demonstrate a real-life application. I learned from the text that hypothesis testing is a “Procedure for deciding whether the outcome of a study (results from a sample) supports a particular theory or practical innovation (which is thought to apply to a population)” (Aron A.‚ Aron‚ E.‚ and Coups‚ 2011‚ p. 145). I also learned that hypothesis testing
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Release date: 27 April 2014 Submission date: 9 May 2014 TUTORIAL ON HYPOTHESIS TESTING (1) Basic Concept 1. State the null and alternative hypothesis for each conjecture : a. A researcher thinks that if expectant mothers use vitamin pills‚ the birth weight of the babies will increase. The average birth weight of the population is 3.0kg. b. An engineer hypothesizes that the mean number of defects can be decreased in a manufacturing process of compact disks by using robots instead of humans
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Hypothesis Testing I Pat Obi What is a “Hypothesis?” A statement or claim about the value of a population parameter: μ‚ σ2‚ p Pat Obi‚ Purdue University Calumet 2 Decision Rule 1. x 0 Z s n Compare calculated Z value to Z value from Table (critical Z value) Reject H0 if calculated Z value lies in the rejection/significance region (i.e. region) ALTERNATIVELY: 2. Compare p-value to Reject H0 if p-value < Pat Obi‚ Purdue University Calumet 3 Two-Tail Test Ex: H0: 0
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CHAPTER 8 Introduction to Hypothesis Testing 8.1 Inferential Statistics and Hypothesis Testing LEARNING OBJECTIVES 8.2 Four Steps to Hypothesis Testing After reading this chapter‚ you should be able to: 8.3 Hypothesis Testing and Sampling Distributions 8.4 Making a Decision: Types of Error 8.5 Testing a Research Hypothesis: Examples Using the z Test 8.6 Research in Focus: Directional Versus Nondirectional Tests 8.7 Measuring the Size
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HYPOTHESIS TESTING WHAT IS THIS HYPOTHESIS???? • In simple words it means a mere assumption or supposition to be proved of disproved. • But‚ for a researcher it is a formal question that he intends to resolve. • Example: I assume that 1) under stress and anxiety a person goes into depression. 2) It leads to aggressive behaviour. Eg. : Students who get better counselling in a university will show a greater increase in creativity than students who were not counselled. • So‚ the hypothesis
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