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The example is using a two-tailed test, that which 5% is shared evenly between the two tails, giving you 2.5 percent (0.025) in each tail.
What is a two-tailed test?
In statistics, a two-tailed test is a procedure that analyzes whether a sample is more than or less than a specified range of values by using a two-sided critical area of distribution.
A scientific hypothesis must meet two criteria: A scientific hypothesis must be testable, and a scientific hypothesis must be falsifiable
The basic idea of a hypothesis is that there is no predetermined outcome. For a solution to be termed a scientific hypothesis,
Assume you were performing a z test with a 5% alpha level (0.02). The full 5% would be in a single tail in a one-tailed test.
However, using a two-tailed test, that 5% is shared evenly between the two tails, giving you 2.5 percent (0.025) in each tail.
Hence the example is using a two-tailed test, that which 5% is shared evenly between the two tails, giving you 2.5 percent (0.025) in each tail.
To learn more about the two-tailed test refer to the link ;
https://brainly.com/question/8170655
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