Can someone check p-value accuracy in STATA output?
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As we all know that statistical testing is the core component of data analysis, in statistical programming we use p-value as a measure of significance. One of the common ways to check the significance of the observed results is to use the F-test or the SPSS P-test. Both the tests have the limitation in calculating the p-value accurately. The most commonly used test is the F-test in SPSS. It’s a multiple-comparisons test. If we want to know the significance of more than one contrast, we can use the F-
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In this section, I will show how to check if a p-value obtained from a statistical test is accurate. Specifically, I will look at the standard error of the p-value, which is the distance from 0 (0.5) to the observed p-value. – First, we will look at the p-value distribution (i.e., the shape of the p-value distribution). Distribution of p-values: I will show you the p-value distribution for a test that is normally distributed. Let’s assume
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“When the software produces an output, you often see a p-value. Here’s what you should be thinking about your p-value and why it matters. In a statistical analysis, a p-value is a measure of the probability that a random sample of this size would observe results as unusual as the ones in that sample. Your p-value is a way to estimate the strength of the null hypothesis being tested. This is important because the null hypothesis is the assumption that the null hypothesis is true. click here for more info If the null hypothesis is true, then any non-zero p-
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“As a professor who has had students use the Stata software to analyze quantitative data in countless ways over the years, I can attest that Stata is indeed the best statistical software available for those purposes. But it’s not the only one out there. There are others, with their own strengths and weaknesses. For the purpose of this analysis, let me talk about a relatively new, popular alternative: JMP. I have not used JMP, nor do I know anyone who has. But a colleague, who was an early adopter of JMP
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Question: Can someone check p-value accuracy in STATA output? Answer: Yes, that’s correct. P-values in STATA (Statistical and Testing Analysis Tool) output are accurate up to the level of significance. You can check the p-value accuracy by examining the distribution of the p-values at the various levels of significance. get more Specifically, p-values at the least significant level (less than 0.05) are generally considered accurate, and p-values at the most significant level (greater than 0.05) are
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1% (p. 67): “The p-value for the one-sided hypothesis was 0.05 and thus the null hypothesis was rejected at the 5% significance level.” 2% (p. 123): “The p-value for the two-sided hypothesis was 0.001 and thus the null hypothesis was rejected at the 1% significance level.” 3% (p. 153): “The p-value for the one-sided hypothesis was 0.03 and