Southwestern University Cebu City Graduate School of Health Science‚ Management and Pedagogy Statistical Methods (EDUC 201) ACTIVITY 4 HYPOTHESIS-TESTING Instruction: Apply the five steps of hypothesis-testing procedure to each problem below. 1. A researcher conducted an experiment to determine the effect of a lecturer’s age on student preferences to hear him lecture. In a regular classroom situation‚ 20 students were told that the administration wished to know their preferences regarding
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size‚ you will take the bigger of the two.) 2. (8 points) According to a study by my PseudoScientific Consulting‚ the time interval between Atlantic hurricane of category 4 has a mean of 456 days and a standard deviation of 123 days. Suppose that you observe a sample of five (5) time intervals between successive category 4 hurricanes. a. On average‚ what would you expect to be the mean of the five (5) time intervals? b. How much variation would you expect from your answer in
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Determine 4 to 6 variables (at least 2 quantitative and 2 qualitative) you would like to collect information on from the sample. • Write a survey that asks clear questions that will allow you to collect your data. Type this survey up in (with your name somewhere at the top) and print 45 copies. Research Questions: • Write at least 3 research questions about the population that can be answered from your data. Two or more of these questions should be able to be answered by a hypothesis test (these
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steps of hypothesis testing and the 5% significance level (i.e. alpha = .05)‚ does showing the film change students’ attitudes towards the chronically mentally ill? • What does it mean to set alpha at .05? Alpha at .05 means there is a .05 probability or 5% chance of committing a Type I error‚ which means that we have rejected our null hypothesis and found support for our alternate hypothesis when‚ in fact‚ the null hypothesis was true. • What is your null hypothesis? Alternate hypothesis? Ho :
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A NOTE ON HYPOTHESIS TESTING |Significance Level |One-Sided Test |Two-Sided Test | |0.10 |1.285 |1.645 | |0.05 |1.645 |1.960 | |0.01 |2.33 |2.575 | Part A. Single-Sample
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Hypothesis Test Analysis Shawnda Peluaga Research and Evaluation October 30‚ 2006 Business Problem You are the manager of a large firm. Lately complaints have surfaced that an increased number of incoming calls are being dropped or misrouted. Yesterday‚ as you walked by one older employee‚ you noticed that he was fiddling with his hearing aid and not paying attention to the phone. A call came in and only because you were there and intervened was the call answered. This particular phone
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cases so they decided to focus on stock exchanges with the assumption that something that involves millions of people around the world participating in it every day should indicate any deviation from the norm. The researchers were looking at the hypothesis that depressed people affected by the moon will cause a drop in stock prices. Dichev and Janes looked to prove or disprove the theory of the moon affecting behavior‚ so they studied the daily median stock price profits of 25 stock exchanges over
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ANOVA Hypothesis Testing Paper RES/342 July 5‚ 2011 University of Phoenix ANOVA Hypothesis Testing Paper According to Payscale.com an individual with a high school education entering the work force will earn less than an individual with the same level of education who has worked longer in that particular field (Harrison‚ 2010). Team A has selected data from the Wages and Wage Earners data set and will be using the analysis of variance‚ also known as ANOVA‚ to compare the mean of age
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Statistics for Business Intelligence – Hypothesis Testing Index: 1. What is Hypothesis testing in Business Intelligence terms? 2. Define - “Statistical Hypothesis Testing” – “Inferences in Business” – and “Predictive Analysis” 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those variables
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Chapter 8: Hypothesis Testing: 8.1 Review and Preview: The two main activities of inferential statistics are using sample data to (1) estimate a population parameter (such as estimating a population parameter with a confidence interval)‚ and (2) test a hypothesis or claim about a population parameter. Hypothesis: a claim or statement about a property of a population Hypothesis test/test of significance: a procedure for testing a claim about a property of a population Population proportion
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