the five 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 means making a Type I error same as significance level. When the alpha is at .05 it means that the researcher doesn’t want to take a big risk therefore sets the alpha to .05. By doing this it will make it hard for hypothesis testing process to reject the null hypothesis unless
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Chapter 4. Hypothesis testing The main aim of the module is to familiarize students with the theoretical knowledge of hypothesis testing and then train them in applying theory to economic practice. After completing this module‚ students will be familiar with: the procedure of hypothesis testing; the possible outcomes in hypothesis testing; the difference between significant and nonsignificant statistical findings. After completing this module‚ students will be able to:
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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 part (a)? (Hint: Think along the line of the Empirical 68-95-99.7 Rule.) The following
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Using the five 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
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Quantitative Techniques Lab 5 (Topic 3: Hypothesis Testing) ------------------------------------------------- Procedure for Hypothesis Testing Step 1: Formulate the null and alternative hypothesis. Draw the one-tail or two- tail test diagram. Step 2: Specify the level of significance. Determine the critical value (s). Step 3: Identify the test statistics to be used and calculate it. Step 4: Draw the conclusion. Formulae List Hypothesis Testing Test Statistics for Single Mean
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Random samples of size n are selected from each of k populations. It will be assumed that the k populations are independent and normally distributed with means [pic][pic] and common variance [pic]. We wish to derive appropriate methods for testing the hypothesis: [pic] [pic] [pic] at least two of the means are not equal. Table 1 K random samples | |Population | | |
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CHAPTER 4 – THE BASIS OF STATISTICAL TESTING * samples and populations * population – everyone in a specified target group rather than a specific region * sample – a selection of individuals from the population * sampling * simple random sampling – identify all the people in the target population and then randomly select the number that you need for your research * extremely difficult‚ time-consuming‚ expensive * cluster sampling – identify
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Statistical Sampling for Testing Control Procedures 1. Statistical Sampling for Testing Control Procedures 2. MULTIPLE CHOICE 3. 1. Auditors who prefer statistical sampling to non-statistical sampling may do so because statistical sampling helps the auditor 4. a. Measure the sufficiency of the evidential matter obtained. b. Eliminate subjectivity in the evaluation of sampling results. c. Reduce the level of tolerable error to a relatively low amount. d. Minimize the failure to detect a material misstatement
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The five-step processes for hypothesis testing are the following. Step1. Specify the null hypothesis H0 and alternative hypothesis H1. The null hypothesis is the hypothesis that the researcher formulates and proceeds to test. If the null hypothesis is rejected after the test‚ the hypothesis to be accepted is called the alternative hypothesis. For example if the researcher wants to compare the average value generated by two different procedures the null hypothesis to be tested is [pic] and
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Lind‚ Chapter 13‚ Exercise 42 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? a. Compute the coefficient of correlation. Coefficients Standard Error t Stat P-value Intercept 59.95717345 28.65750326 2.092198085 0.062896401 Home Size 31.69164882 24.44661008 1.296361692 0.223968044 The formula for the coefficient
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