you were performing inferential statistics on a large set of numerical data that was normally distributed then the best test to use would beSelect one:a.Anovab.chi squaredc.t-testd.z-test
Question
you were performing inferential statistics on a large set of numerical data that was normally distributed then the best test to use would beSelect one:a.Anovab.chi squaredc.t-testd.z-test
Solution
The best test to use when performing inferential statistics on a large set of numerical data that is normally distributed would be the z-test (option d).
Here's why:
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The z-test is used when your sample size is large (typically if n > 30), and you know the population standard deviation. It's based on the standard normal distribution.
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The t-test (option c) is used when your sample size is small (typically if n < 30), and you don't know the population standard deviation.
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The chi-squared test (option b) is used for categorical data to determine whether there's a significant association between two
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