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In a statistical test, we have a choice of a left-tailed test, a right-tailed test, or a two-tailed test. Is it the null hypothesis or the alternate hypothesis that determines which type of test is used

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Answer:

Alternate Hypothesis determines which type of test is used.

Explanation:

We have find the hypothesis that helps us o determine the nature of test.

  • There are three types of test two tailed test, lest tailed test or right tailed test
  • It is the alternative hypothesis that states the nature of test.
  • The null hypothesis always state that the sample belongs to the population and always shows equality to the population.
  • The alternate hypotheses states that whether the sample belongs to the population or not and tell that there is a significant difference between the two variables.
  • For example, for a one sample test of population mean we have the following alternate and null hypothesis.


\text{Two tailed test}\\H_(0): \mu = \mu_0\\H_A: \mu \\eq\mu_0\\\\\text{Left tailed test}\\H_(0): \mu = \mu_0\\H_A: \mu < \mu_0\\\\\text{Right tailed test}\\H_(0): \mu = \mu_0\\H_A: \mu > \mu_0

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