A normality test (Anderson-Darling) is run on a dataset to see if it can be assumed...
- A normality test (Anderson-Darling) is run on a dataset to see if it can be assumed to follow a normal distribution.
-
- What are the null and the alternate hypothesis, respectively? Give the specific wording for each hypothesis for a normality test, not for a generic hypothesis test.
-
- What can you conclude if the p-value of the test is 0.02? (What is the conclusion on the hypothesis? what can you say about the data?)
-
- What can you conclude if the p-value of the test is 0.24? (What is the conclusion on the hypothesis? what can you say about the data?)
-
- If the data is normal, what would you expect a normal probability plot of the dataset to look like? You can draw a chart if you like.
Homework Answers
Null
hyo : sample data follows normal distribution.
Vs
Aly hyp: normal distribution is not a good fit for the data
The p value of 0.02 indicates that Ho is rejected. The data does not follow normal distribution
p value of 24 indicates that Ho is not rejected. Hence we can say data follows normal distribution
The data following normal distribution shows fgraph pasted in the beginning.
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A normality test (Anderson-Darling) is run on a dataset to see
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