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https://www.statisticshowto.datasciencecentral.com/p-value/
Jan 13, 2014 · A p value is used in hypothesis testing to help you support or reject the null hypothesis. The p value is the evidence against a null hypothesis. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.
https://www.statisticshowto.datasciencecentral.com/support-or-reject-null-hypothesis/
Support or Reject Null Hypothesis with a P Value If you have a P-value , or are asked to find a p-value, follow these instructions to support or reject the null hypothesis. This method works if you are given an alpha level and if you are not given an alpha level.
https://www.dummies.com/education/math/statistics/what-a-p-value-tells-you-about-statistical-data/
When you perform a hypothesis test in statistics, a p -value helps you determine the significance of your results. Hypothesis tests are used to test the validity of a claim that is made about a population. This claim that’s on trial, in essence, is called the null hypothesis.
https://medium.com/datadriveninvestor/p-value-significant-level-and-hypothesis-testing-4895524ec3f3
Oct 31, 2018 · P-value With the statistical hypothesis, a set of mathematical/statistical calculation is performed to estimate the probability of what we are observing, given the H0 is really true.Author: Jocelyn Guo
https://www.simplypsychology.org/p-value.html
When you perform a statistical test a p-value helps you determine the significance of your results in relation to the null hypothesis. The null hypothesis states that there is no relationship between the two variables being studied (one variable does not affect the other).
https://www.statsdirect.com/help/basics/p_values.htm
The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H 0) of a study question is true – the definition of ‘extreme’ depends on how the hypothesis is being tested.
https://www.myamericannurse.com/the-p-value-what-it-really-means/
May 11, 2007 · We can define the P value as the probability that the observed time difference resulted from chance. Some find it easier to understand the P value when they think of it in relationship to error. In this case, the P value is defined as the probability of committing a Type 1 error. (Type 1 error occurs when a true null hypothesis is incorrectly rejected.)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2895822/
May 25, 2010 · The hypothesis test is designed to help determine if a 26% difference is so large and the resulting p value of 0.015 so small that we should reject H 0. First and foremost, a p value is simply a probability. However, it is a conditional probability, in that its calculation is based on an assumption (condition) that H 0 is true.Cited by: 13
https://en.wikipedia.org/wiki/One-sided_P_value
In statistical hypothesis testing, the p-value or probability value is, for a given statistical model, the probability that, when the null hypothesis is true, the statistical summary (such as the sample mean difference between two groups) would be equal to, or more extreme than, the actual observed results.
https://www.researchgate.net/post/How_to_accept_or_reject_a_hypothesis_using_PLS-SEM_output
If you are using SmartPLS v2, you can run the bootsrapping test and check the t-value > 1.96 (for 2-tailed) which is equivalent to p < 0.05, then you accept your alternative hypothesis. If you are using SmartPLS v3, they come with p value.
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