Xlstat hypothesis testing3/31/2024 ![]() The p-value approach compares the p-value of the test statistic and with the significance level.The critical value approach compares the test statistic with the critical value of the significance level.There are two main approaches used for hypothesis tests: Note: You will learn how to calculate the test statistic for each type of test in the following chapters. Stat Reference Stat Z-Table Stat T-Table Stat Hypothesis Testing Proportion (Left Tailed) Stat Hypothesis Testing Proportion (Two Tailed) Stat Hypothesis Testing Mean (Left Tailed) Stat Hypothesis Testing Mean (Two Tailed) Inferential Statistics Stat Statistical Inference Stat Normal Distribution Stat Standard Normal Distribution Stat Students T-Distribution Stat Estimation Stat Population Proportion Estimation Stat Population Mean Estimation Stat Hypothesis Testing Stat Hypothesis Testing Proportion Stat Hypothesis Testing Mean Statistics Tutorial Stat HOME Stat Introduction Stat Gathering Data Stat Describing Data Stat Making Conclusions Stat Prediction & Explanation Stat Populations & Samples Stat Parameters & Statistics Stat Study Types Stat Sample Types Stat Data Types Stat Measurement LevelsÄescriptive Statistics Stat Descriptive Statistics Stat Frequency Tables Stat Histograms Stat Bar Graphs Stat Pie Charts Stat Box Plots Stat Average Stat Mean Stat Median Stat Mode Stat Variation Stat Range Stat Quartiles and Percentiles Stat Interquartile Range Stat Standard Deviation
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