The rejection region in a hypothesis test is the region in the test statistic's distribution that would lead to the rejection of the null hypothesis. The values that act as the "boundary" of the rejection region are called critical values....
*This process is made much easier if you use a TI-83 or Excel to calculate the z-score (the “critical value”). See: Critical z value TI 83 Z Score in Excel Hypothesis Testing Examples: Mean (Using TI 83) You can use the TI 83 calculator for hypothesis testing, but the calculator...
In many statistical tests, the main goal is to eithersupport or reject the null hypothesis. This means that we’re either going to keep the original hypothesis in place, or we’re not. For example, if yournull hypothesisis that grass grows more than one inch per day, but an...
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Calculating the sample size required for an AB test prior to starting prevents us from running the test for a smaller sample size, thus having an “underpowered” test.
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Calculate the z test statistic (see below). Compare thetest statisticto the critical z value and decide if you shouldsupport or reject the null hypothesis. You could perform all these steps by hand. For example, you couldfind a critical value by hand, orcalculate a z value by hand. For...
R’s ability to directly calculate the squared values of each element in a vector is used by function f2. Rejection Region in Hypothesis Testing – Data Science Tutorials f2<-function(x){ sum(x^2) } Now, we use rnorm to create a vector x with 1000 randomly chosen values from a normal...