Question

Z-test and t-test

28 May 2025
Answer :
Word Count : 417
Z-test and t-test are both statistical hypothesis tests used to determine whether there is a significant difference between sample statistics and population parameters or between two sample means. These tests are used under different conditions based on sample size and whether population standard deviation is known. Z-test is applied when the sample size is large (n > 30) and the population standard deviation is known. It assumes that the data follows a normal distribution. The test statistic is calculated using the formula: Z = (X̄ - μ) / (σ / √n) Where: X̄ = sample mean μ = population mean σ = population standard ________ _______ __________ _________ ____ ________ _____.
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