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Statistical ReasoningName: Significance Tests Practice If value is ? ? Then? If value is ? Then? Example 1: A test of the null hypothesis versus the one sided alternative yields.a) Find the value
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How to fill out p-value what it is

01
To fill out a p-value, follow these steps:
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Define the null and alternative hypotheses.
03
Choose the appropriate statistical test.
04
Collect the necessary data for the test.
05
Calculate the test statistic.
06
Determine the degrees of freedom.
07
Find the p-value associated with the test statistic.
08
Compare the obtained p-value with the significance level (alpha).
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Make a decision to either reject or fail to reject the null hypothesis based on the p-value and predetermined level of significance.
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Interpret the results in the context of the specific study or experiment.

Who needs p-value what it is?

01
P-value is needed by researchers, statisticians, and decision-makers who want to make evidence-based decisions or draw conclusions from statistical data.
02
It is widely used in various fields such as medical research, social sciences, economics, psychology, and many others.
03
Anyone performing a statistical analysis or conducting experiments can benefit from understanding and utilizing p-values.

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The p-value is a statistical measure that helps scientists determine the significance of their research results. It is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.
Researchers conducting hypothesis tests typically use p-values, but there are no specific filing requirements as p-values are part of the research methodology, not regulatory documents.
Filling out p-values involves conducting an experiment, collecting data, performing statistical tests, and calculating the probability based on the null hypothesis. This is usually done using statistical software.
The purpose of a p-value is to provide evidence against the null hypothesis. A low p-value suggests that the observed data would be very unlikely under the null hypothesis, leading researchers to consider rejecting it.
Researchers must report the p-value along with the test statistic, sample size, and confidence intervals, helping others interpret the results of the statistical analysis.
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