Different statistical tests
[DOC File]SPSS & Hypothesis Testing
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This is the easiest of the statistical tests to understand. Specifically, this test compares a sample mean (computed from a set of observed values) to a hypothesized mean and determines the likelihood that the observed difference between the sample and hypothesized mean occurs by chance. The chance is reported as the p-value.
[DOC File]Multiple-Choice Questions
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l 2. Sampling techniques for tests of details that use the statistical inference processes. b 3. The risk that the auditor is willing to take of concluding a balance is materially misstated when it is, in fact, fairly stated. e 4. A statistical sampling method that provides upper and lower misstatement bounds expressed in monetary amounts.
[DOC File]Types of Research Reports
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Statistical tests . Value of calculated statistic. Significance (statistical) .05 or .01 usually. Discussion. Interpretation of the results in light of previous research, theoretical framework, or clinical relevance. Implication for practice. Limitations. Implications for further research. References. Style of quantitative journal articles or ...
[DOC File]Statistical Tests - University of Washington
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The variances can be up to 4 times different from each other, but no more than that, and still be considered “equal.” To find HOV, you divide the larger variance by the smaller variance. Known population mean. Known population standard deviation. Title: Statistical Tests Author: Ratlab #3, Psychology Last modified by: Department of ...
[DOC File]Differences Between Statistical Software ( SAS, SPSS, and ...
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The values of these CI’s are different from SPSS because they are computed using the normal approximation and the standard normal Z-table, while SPSS uses the chi-square tables. The odds ratios calculated by Minitab are exactly as SPSS results. Pearson and Deviance tests are provided by Minitab as well as by SPSS as tests for goodness of fit.
[DOCX File]Hypothesis Testing
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It is easy to work with normal distribution as many kinds of statistical tests can be derived for it. These tests work very well even if the distribution is only approximately normally distributed. This distribution is sometimes called the Gaussian distribution in honor of Carl Friedrich Gauss, a famous mathematician.
[DOC File]Testing group differences with regression analysis ...
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First, simple effects tests should be more powerful because the full sample size is utilized in the significance test (i.e., df = N - k -1, where N is the total sample size and k is the number of predictors). Second, the simple slope tests provide accurate estimates of the …
[DOC File]One Sample T-Test
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We note that a larger sample size or a one-tailed test might/would give different results. Paired Samples T-Test. The Paired-Samples T Test procedure compares the means of two variables for a single group. The procedure computes the differences between values of the two variables for each case and tests whether the average differs from 0. Example.
[DOC File]STATS CHEAT SHEET
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Z-TESTS. In order to run a Z-Test you must be provided with. Population (Population (Equation: Critical Z-Test values: 1-Tailed 2-Tailed α = .05 1.64 1.96/-1.96 α = .01 2.33 2.58/-2.58 EXAMPLE: SINGLE SAMPLE T-TEST. In order to run a Single Sample T-test you must: Be provided with Population (Use the sample Standard Deviation to predict ...
[DOC File]Statistical Tests of Models That Include Intervening Variables
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Title: Statistical Tests of Models That Include Intervening Variables Author: Karl L. Wuensch Last modified by: Fujitsu Created Date: 2/25/2018 2:24:00 AM
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