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[DOC File]Numerical Examples for Statistical Tables
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1. Testing hypotheses on mean, variance unknown Given xbar16 = 12.1 and S2 = 2.225, test = 12.5 vs 12.5, at = 0.05 significance level. The computed statistic is t = -1.07 but the critical value from t-table = 2.131. Conclusion: There is no reason to reject that = 12.5.
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[DOC File]INTRODUCTION TO THE IDEAS OF HYPOTHESIS TESTING
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Here we have done a test of hypothesis for a population proportion using a small sample. Common examples of test of hypotheses in introductory statistics courses are test of hypotheses about proportions with large samples, test about the mean of a population, matched pairs tests, tests for …
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[DOC File]Example SPSS Output for T-Test for Difference in Means
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To do an hypothesis test at a specific alpha (significance) level, just compare the p-value on the output (labeled as a “Sig.” value on the SPSS output) to the chosen alpha level. Alternatively, you could just report the p-value, rather than reporting whether the result is …
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[DOC File]Example of statistical analysis
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P value and statistical significance: The one-tailed P value equals 0.0005. t = 3.7770 ... Whether the results of the paired t-test are statistically significant or not, students should be able to independently present the results, both in a written and graphical manner, and explain them with reference to the primary literature. TIEE.
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Running head: PRACTICAL SIGNIFICANCE
Periodically, researchers have been reminded that test statistics (e.g., t-ratios, F-ratios) serve only to indicate the inferential stability (statistical significance) of observed results.
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[DOC File]STATISTICAL HYPOTHESIS TESTING
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2. Calculate your test statistic. Collect your data, and calculate the value of the test statistic based on these data. The test statistic may be an estimator of the parameter involved in the hypotheses, or it may be related to the estimator. Examples: the sample mean and its z-score.
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[DOC File]SPSS & Hypothesis Testing
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This test is used primarily to determine if the "treatment" had a statistically significant effect. As in the case of the one-sample t-test, the primary statistic of concern is the p-value, and thankfully the p-value has the same interpretation here as it did in the case of the one-sample t-test. Exercise 2 . a) What is the mean for Triglycerides?
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[DOC File]Examples in book Statistical Methods in Diagnostic ...
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Examples in book Statistical Methods in Diagnostic Medicine by Xiao-hua Zhou et.al ... “D” is the disease status, “T” is the continuous-scale test result. alpha: significance level, (1-alpha)% C.I. are reported. FPR: the given false positive rate , will estimate the sensitivity given this FPR ... Examples in book Statistical Methods in ...
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[DOC File]Applications of z test (two-tailed)
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Commuting distances are obtained for a random sample of 169 workers form this area, and the mean distance is found to be 15.5 miles. Test the null hypothesis at the 0.05 level of significance. Review of the assumptions for z test: ( 1. The sample size is large enough (>25) to satisfy the requirement of the central limit theorem. ( 2.
examples of statistical significance testing

Examples of statistical significance testi