Below are examples for a one-sample test. For more than one sample, the hypotheses are set up a bit differently but the fundamentals are the same.
Options for the null (one-sample):
Ho: µ = ? -->meaning: population mean is equal to some value.
Or...
Ho: µ ≤ ? -->meaning: population mean is less than or equal to some value.
Or...
Ho: µ ≥ ? -->meaning: population mean is greater than or equal to some value.
The null hypothesis ALWAYS uses an equals sign.
Options for the alternative (one-sample):
Ha: µ < ? -->meaning: population mean is less than some value
Or...
Ha: µ > ? -->meaning: population mean is greater than some value
Note: I am using a question mark in place of a specific value. Usually you will know what the value is depending on the information given in a problem.
I hope this will help and is what you were asking.
What is the correct methodology for defining null and alternative hypothesis? Give an example
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