Question: Please help Why does a Shapiro-Wilk test sometimes conclude that the data are not normally distributed (i.e. significant) when a Kolmogorov-Smirnov test is non-significant? a.
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Why does a Shapiro-Wilk test sometimes conclude that the data are not normally distributed (i.e. significant) when a Kolmogorov-Smirnov test is non-significant? a. The Shapiro-Wilk test is more powerful. O b. The Shapiro-Wilk test is less powerful. O c. The Shapiro-Wilk test does not work well when there are a large number of cases. O d. The Shapiro-Wilk test is a more conservative test.Using the data in the table in Q16, split the data according to the sport. Run a Kolmogorov-Smirnov test on the diastolic blood pressure data. Which group's data cannot assume a normal distribution? a. Football O b. Hockey O c. Rugby O d. All three are normally distributedWhat does Levene's test do? a. It tests the null hypothesis that the variances in different groups are equal. O b. It tests the research hypothesis that the variances in different groups are equal. O C. It tests the data to see whether they are normally distributed. O d. None of the above.Using the data from the table in Q16, what assumption can be made regarding the distribution of the age data? O a. They are not normally distributed. O b. They are normally distributed. O c. It is unclear whether they are normally distributed or not. O d. A Shapiro-Wilk test should be run to confirm the result
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