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Statistical Reasoning PValue Worksheet1.State whether the null hypothesis should be rejected based on the given Pvalue. a) Pvalue 0.258, 0.05. b)2.Name:Pvalue 0.0684, 0.05.c)Pvalue 0.0153, 0.05.d)Pvalue

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How to fill out statistical reasoning - p-value

01

Understand the null hypothesis and alternative hypothesis.

02

Calculate the test statistic.

03

Determine the p-value.

04

Compare the p-value to the significance level.

05

Make a decision based on the comparison.

Who needs statistical reasoning - p-value?

01

Researchers conducting experiments or studies.

02

Analysts interpreting data in various fields such as finance, marketing, healthcare, etc.

03

Students learning about hypothesis testing and statistical analysis.

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What is statistical reasoning - p-value?

The p-value is a statistical measure that helps scientists determine the significance of their research results. It indicates the probability of observing the results, or something more extreme, assuming that the null hypothesis is true.

Who is required to file statistical reasoning - p-value?

Researchers and analysts conducting hypothesis testing in scientific studies or data analysis are typically required to report the p-value to substantiate their findings.

How to fill out statistical reasoning - p-value?

To fill out the statistical reasoning with p-value, one must perform statistical tests, calculate the p-value based on the obtained data, and report it in the context of the hypothesis being tested, along with the necessary details of the methodology used.

What is the purpose of statistical reasoning - p-value?

The purpose of using the p-value in statistical reasoning is to assess the strength of evidence against the null hypothesis, helping researchers decide whether to reject it in favor of the alternative hypothesis.

What information must be reported on statistical reasoning - p-value?

When reporting on statistical reasoning involving p-values, information such as the p-value itself, the null and alternative hypotheses, the test used, sample size, and the significance level chosen (usually 0.05) should be included.

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