Assignment This major statistics assignment will finally pull together everything that was learned in this course. The application of all content within this course will be incorporated to three different research scenarios. Within each scenario‚ hypothesis testing will be done‚ followed by a discussion of relevant descriptive statistics and finally‚ a discussion of the findings which includes nursing practice implications and research implications. Research Scenario #1 In this research scenario
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Therefore‚ the interval is 3. We are asked to check the null hypothesis µ = 16 against the alternative hypothesis µ < 16. So let us apply z-test to check the hypothesis at 0.05 level of significance. a. H0 : µ = 16 H1: µ < 16 α = .05 b. Reject the null hypothesis if z ≤ -1.645 where t is the value of z0.05 = 1.645 Where c. x = 14.87‚ σ = .5503 n = 30‚ µ = 16 Since -11.25 < -1.645 Therefore‚ the null hypothesis is rejected. Hence‚ the claim that the bottle contains less
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mean of population 2‚ the a. null hypothesis should state µ1 − µ2 < 0 b. null hypothesis should state µ1 − µ2 ≤ 0 c. alternative hypothesis should state µ1 − µ2 < 0 d. alternative hypothesis should state µ1 − µ2 > 0 ANSWER: c 2. A Type I error is committed when a. a true alternative hypothesis is not accepted b. a true null hypothesis is rejected c. the critical value is greater than the value of the test statistic d. sample data contradict the null hypothesis ANSWER: b In determining an interval
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test of hypothesis requires that you be able to judge the pvalue of the test. However‚ to do so also requires that you have an understanding of the relationship between Type I and Type II errors. Here‚ we describe how the probability of a Type II error is computed. A Type II error occurs when a false null hypothesis is not rejected. For example‚ if a rejection region is as follows: xbar < 127.06 or xbar > 132.94 and the null hypothesis is false
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A PROJECT ON “CONSUMER SATISFACTION OF ORIFLAME’S PRODUCT IN AHMEDABAD” A Project on “Consumer Satisfaction of Oriflame’s Product in Ahmedabad” Submitted To Prof. Himali Broker MBA Department LDRP-Institute of Technology and Research‚ Gandhinagar (Affiliated to Gujarat Technological University‚ Ahmedabad PREFACE The project provides an opportunity to a student to demonstrate application of his knowledge‚ skill and competencies required during the session. Project
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Probability and measure (Wiley‚ New York). Box‚ G. and G.M. Jenkins‚ 1976‚ Time series analysis: Forecasting and control (Holden-Day‚ San Brown‚ S. and J. Warner‚ 1980‚ Measuring security price performance‚ Christie‚ A.‚ 1983‚ On information arrival and hypothesis testing in event studies‚ Working paper‚ Collins‚ D.W. and W.T. Dent‚ 1984‚ A comparison of alternative testing models used in capital Dann‚ L.‚ 1981‚ Common stock repurchases: An analysis of returns to bondholders Dent‚ W.T. and D.W. Collins‚ 1981
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The appropriate test statistic is a t-test for two independent samples. The following procedure is used: 1. State the null hypothesis to be tested. HO: μA= μB or μA- μB=0 * There is no significant difference between the numbers of bacterial colonies present in cooked rice wrapped with aluminum foil. 2. State the alternative hypothesis in symbols and in words. HO : μA ≠ μB or μA - μB ≠ 0 * There is a significant difference
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related samples t test. 2. Identify the independent (grouping) and dependant (response) variables important to study 3. Explain whether an independent sample or related sample t test is appropriate and why 4. Generate a hypothesis‚ including null and alternative hypothesis 5. Describe what information the effect size will tell you and what information the effect size will tell you and what information the p value or critical value approach will not 6. Using realistic numbers for the degrees
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or use the Internet to find web sites such as http://www.graphpad.com/quickcalcs/ttest1.cfm. (Excel has a “t” test function although it may not be currently installed in your version; you would then add it in.) Question 1 – What is the null hypothesis in this evaluation? (Discussed in class‚ but easy found on the Internet) The voting machine brand does not distinguish difference in the voting time. Question 2 – Which “t” test should be used – paired‚ unpaired/equal variance‚ unpaired/unequal
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An alpha level of 0.05 is arbitrary and was set as a standard by scientists. One of the key concepts in hypothesis testing is that of significance level or‚ the alpha level‚ which specifies the probability level for the evidence to be an unreasonable estimate. Unreasonable means that the estimate should not have taken its particular value unless some non-chance factor(s) had operated to alter the nature of the sample such that it was no longer representative of the population of interest Remember
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