1. (12 points) In this recession‚ yours truly would like to make extra money to support his frequent filet-mignon-et-double-lobster-tail dinner habit. A promising enterprise is to mass-produce garnet wedding rings for brides. Based on my diligent research‚ I have found out that women’s ring size normally distributed with a mean of 6.0‚ and a standard deviation of 1.0. I am going to order 5000 garnet wedding rings from my reliable Siberian source. They will manufacture ring size from 4.0‚ 4
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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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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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Elements of a Test of Hypothesis 1. Null Hypothesis (H0 ) - A statement about the values of population parameters which we accept until proven false. 2. Alternative or Research Hypothesis (Ha )- A statement that contradicts the null hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0
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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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GMB 713 PROBLEM SET NO. 2 PROBLEM SOLVING: Solve the following problems. Show all pertinent solutions. 1. A car battery dealer is trying to determine which of the brands of car battery he is selling has a longer life span. He conducted an investigation by interview his customers and was able to get the following results: Brand X Brand Y Mean life span 4.5 years 4.9 years Standard deviation
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The Shampoo Data Set This data set is generated by a study of Brand X shampoo. It contains two measurements of customer satisfaction (on a scale from 0 to 100) with a shampoo sample. The customer satisfaction measurements were taken from 10 men and 10 women at two separate times. The first measurement is taken before the presentation of an advertising campaign‚ and the second measurement is taken after the campaign. The last column contains a dichotomous measure of purchase intentions. Each
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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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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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distributions are normal for each group; and population variances are equal for all groups. The assumptions of ANOVA are identical to the t-test and the calculated statistic is called an F-value which has a probability value associated with it. As with the t-test‚ if our probability value is less than 0.05 we reject our null hypothesis (in this case that there is no difference among the treatment groups). This p-value only tells if there are significant differences among our groups. It does not tell
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