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The notation mu and zigma are sample values.
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The alternative hypothesis is a statement that there is no significance difference between the two given properties.
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In the given, Null hypothesis: mu = 21.5 and altenatvie hypothesis: mu > 21.5 show a one-tailed test since it shows direction of the distribution.
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The rejection region for a hypothesis test is also called the critical region.
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The two types of significance test are one-tailed and twotailed test
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The level of significance refers to the degree of significance in which we reject or fail to reject the null hypothesis.
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We don’t need to set the level of the significance because we can get 100% accuracy level in testing hypothesis.
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A two-tailed test shows that the null hypothesis may be rejected when the test value is on the critical region on either side of the distribution.
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Hypothesis testing is basically testing an assumption that we make about the population parameter.
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In a two-tailed test, the null hypothesis should not be rejected when the test value is on either of the two critical regions.
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