360 CHAPTER 7 Estimating Parameters and Determining Sample Sizes Again, know that for practical reasons, the examples of this section involved very small data sets and no more than 20 bootstrap samples, but use at least 1000 bootstrap samples. The use of 10,000 or more bootstrap samples is common. Bootstrap Resampling Access tech supplements, videos, and data sets at www.TriolaStats.com TECH CENTER 1. Click Calc in the top menu. 2. Select Resampling from the dropdown menu and select Bootstrapping for 1-Sample Function from the submenu. 3. For Statistic, select the desired parameter from the dropdown menu. 4. In the Sample box, enter the column containing the sample data. 5. In the Number of Resamples box, enter the desired number of resamples. 6. Click the Options button and enter the confidence level. 7. Click OK twice. The results will include the confidence interval. Minitab 1. Click Applets in the top menu. 2. Select Resampling – Bootstrap a statistic in the dropdown menu. 3. Using Summary Statistics: Select Proportion from summary and enter the number of successes and number of observations. Using Sample Data: Select From data table, select the column containing the sample data and select the desired statistic (e.g. Mean). 4. Click Compute! and the applet window will appear. 5. Click 1000 times for 1000 resamplings. The confidence interval limits will be displayed. StatCrunch 1. Click Resampling in the top menu. 2. Select the desired type of randomization from the dropdown menu. Options include: - Bootstrap One Proportion - Bootstrap Two Proportions - Bootstrap One Mean - Bootstrap Two Means - Bootstrap Matched Pairs 3. Enter the required inputs which include the confidence level and desired number of resamplings. 4. Click Evaluate. 5. The sorted results are listed in the Sample Editor. Statdisk Not available. TI-83, 84 Plus Calculator XLSTAT Add-In (Required) 1. Click on the XLSTAT tab in the Ribbon and then click Describing data. 2. Select Resampled statistics from the dropdown menu. 3. Under Quantitative Data enter the range of cells containing the sample values. If the first row contains a label, check the Sample labels box. 4. Under Method select Bootstrap. 5. Enter the desired number of samples. 6. Click the Outputs tab and enter the confidence interval (%) of 95; confirm Standard bootstrap interval is selected. Also select Mean and Standard deviation (n−1). 7. Click OK. Excel R command not available at time of publication. R is rapidly evolving, and an updated list of statistical commands is available at TriolaStats.com. R Statistical Literacy and Critical Thinking 1.Bootstrap Requirements Listed below are sample times (seconds) that animated children’s movies showed the use of tobacco (based on Data Set 20 “Alcohol and Tobacco in Movies” in Appendix B). If we plan to use the bootstrap method to construct a 95% confidence interval estimate of the population mean m, what two requirements must be satisfied? 00299370002415801622474370 7-4 Basic Skills and Concepts
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