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TABLES OF VALUES FOR t AND SQUARE REFERENCE DISTRIBUTIONS by W. W. Piegorsch University of South Carolina Statistics Technical Report No. 194 62Q053August 2002 Department of Statistics University

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How to fill out tables of p-values for

How to fill out tables of p-values for:

01

Determine the significance level: Before filling out the table, it is important to decide on the significance level for your analysis. Commonly used significance levels are 0.05 (5%) or 0.01 (1%).

02

Identify the variables and hypotheses: Next, identify the variables being tested and the hypotheses being made. This could involve comparing means, proportions, or regression coefficients, among other statistical analyses.

03

Conduct the statistical test: Perform the appropriate statistical test based on your research design and variables. This could include t-tests, chi-square tests, ANOVA, or regression analysis, among others.

04

Calculate the p-value: After conducting the statistical test, obtain the test statistic and corresponding p-value. The p-value represents the probability of obtaining the observed results, or more extreme, if the null hypothesis is true.

05

Determine the critical value: Compare the p-value to the significance level identified in step 1. If the p-value is less than or equal to the significance level, then the results are considered statistically significant, and the null hypothesis is rejected. If the p-value is greater than the significance level, the results are not considered statistically significant, and the null hypothesis is not rejected.

06

Fill out the table: Once you have determined the statistical significance of the test, fill out the table of p-values accordingly. This typically involves documenting the variable names, the test statistic used, the p-value obtained, and the decision made (reject or not reject the null hypothesis).

Who needs tables of p-values for:

01

Researchers and scientists: Tables of p-values are frequently used by researchers and scientists when conducting statistical analyses for their studies. It helps them interpret the results and make informed decisions based on the statistical significance of their findings.

02

Data analysts: Professionals working with data analysis rely on tables of p-values to assess the significance of relationships between variables. This helps them provide valuable insights and make data-driven decisions.

03

Students learning statistics: Tables of p-values are essential for students studying statistics as they learn about hypothesis testing and statistical significance. It helps them understand how to interpret the results of statistical analyses and draw accurate conclusions.

Overall, tables of p-values serve as a crucial tool in statistical analysis, aiding researchers, data analysts, and students in drawing meaningful conclusions from their data and making informed decisions based on statistical evidence.

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What is tables of p-values for?

Tables of p-values are used to display the statistical significance of results in hypothesis testing.

Who is required to file tables of p-values for?

Researchers or scientists conducting experiments or studies that involve statistical analysis are required to file tables of p-values.

How to fill out tables of p-values for?

Tables of p-values are filled out by entering the p-values obtained from statistical tests conducted during the experiment or study.

What is the purpose of tables of p-values for?

The purpose of tables of p-values is to provide a quantitative measure of the evidence against the null hypothesis.

What information must be reported on tables of p-values for?

Tables of p-values must report the p-values obtained from statistical tests, along with the corresponding variables or hypotheses being tested.

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