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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.
Bluff
Hypothesis testing is basically testing an assumption that we make about the population parameter.
Fact
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.
Fact
We don’t need to set the level of the significance because we can get 100% accuracy level in testing hypothesis.
Bluff
The level of significance refers to the degree of significance in which we reject or fail to reject the null hypothesis.
Fact
The two types of significance test are one-tailed and twotailed test
Fact
The rejection region for a hypothesis test is also called the critical region.
Fact
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.
Fact
The alternative hypothesis is a statement that there is no significance difference between the two given properties.
Bluff
The notation mu and zigma are sample values.
Bluff
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