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Since Normality is required if we intend to use the data collected as a predictive tool. To test for Normality of data we must determine if the P-value is ___________.
C is correct.
To determine whether the data do not follow a normal distribution, compare the p-value to the significance level. Usually, a significance level (denoted as α or alpha) of 0.05 works well. A significance level of 0.05 indicates a 5% risk of concluding that the data do not follow a normal distribution when the data do follow a normal distribution.
Null Hypothesis = Data follow normal distribution.
Alternative Hypothesis = Data does not follow normal distribution.
P-value ≤ α: The data do not follow a normal distribution (Reject H0)
If the p-value is less than or equal to the significance level, the decision is to reject the null hypothesis and conclude that your data do not follow a normal distribution.
P-value > α: You cannot conclude that the data do not follow a normal distribution (Fail to reject H0).
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11 months, 2 weeks ago