Determining statistical significance p value

    • [PDF File]Section 9.2 critical values - University of Iowa

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      your statistical results. If you include a figure showing your regression analysis, you should also include this value in the figure. Steps for doing this appear below. You can also see the p-value (in red box) indicating whether or not the test is statistically significant (i.e. if p < 0.05). In this example, the p-value …

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    • [PDF File]P Values, Statistical Significance & Clinical Significance

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      o The p­value for the slope (not the p­value for the y ­intercept, which you usually don’t care about). If p < .05, then you can reject the null hypothesis that the independent vari able has no effect on the response variable. After all, a positive or negative

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    • [PDF File]Is it statistically significant? The chi-square test

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      statistical significance is not significant. We argue that: (1) scholars must always graphically analyze their data before interpreting the p value; (2) it is pointless to estimate the p value for non-random samples; (3) the p value is highly affected by the sample size, and (4) it is pointless to estimate the p value …

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    • [PDF File]9.2 Critical Values for Statistical Significance in ...

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      Tests of Significance Diana Mindrila, Ph.D. Phoebe Balentyne, M.Ed. Based on Chapter 15 of The Basic Practice of Statistics (6th ed.) Concepts: The Reasoning of Tests of Significance Stating Hypotheses P-value and Statistical Significance Tests for a Population Mean Significance from a Table Objectives:

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    • [PDF File]When is statistical significance not significant?

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      being true (small P-value). ! What about z=4? What about z=2? 8 Critical Values for Statistical Significance ! The z-score needed to reject H 0 is called the critical value for significance. ! The critical value depends on the significance level, which we state as α. ! Each type of alternative hypothesis has it’s own critical values:

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    • [PDF File]Running a t-test in Excel

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      Steps to follow • State the hypothesis • Calculate the expected values • Use the observed and expected values to calculate the chi-square test statistic • Establish the significance level you need (usually 95% p = 0.05) and the number of degrees of freedom • Compare the chi-square statistic with the critical value from the table • Make a decision about your hypothesis

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    • [PDF File]Determining Statistical Significance

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      on your experiment the most important result is the p-value, highlighted at left in the pink cell. Since you set your alpha value at 0.05, if the p-value is less than 0.05, you can say that there is a statistically significant difference between the means of your two trials. Note that in this example, p = 2.6 x 10-16, which is < 0.05, so the

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    • Statistically Significant

      P values and Statistical Significance When looking at the results of a study, a natural question is—is it likely that the reported results were due to random chance alone? A quick and simple item to look at is the p value. The p value tells you how probable the results were due to luck. .10 means that there is a 10% probability the results ...

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    • [PDF File]How To Run Statistical Tests in Excel

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      Significance Level If the p-value is less than α, the results are . statistically significant, and we reject the null hypothesis in favor of the alternative If the p-value is not less than α, the results are not statistically significant, and our test is inconclusive Often α = 0.05 by default, unless otherwise specified

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    • [PDF File]Calculating and displaying regression statistics in Excel

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      being true (small P-value). ! ... Critical Values for Statistical Significance ! The z-score needed to reject H 0 is called the critical value for significance. ! The critical value depends on the significance level, which we state as α. ! Each type of alternative hypothesis has it’s

      what is statistically significant


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