Which test is more likely to produce a statistically significant result compared to the Kolmogorov-Smirnov test?

Study for the Doctorate in Clinical Psychology (DClinPsy) Research Methods Test. Review flashcards and multiple choice questions with explanations and hints. Prepare effectively for your examination!

Multiple Choice

Which test is more likely to produce a statistically significant result compared to the Kolmogorov-Smirnov test?

Explanation:
The Shapiro-Wilk test is primarily used to assess the normality of a distribution. A statistically significant result from this test indicates that the data significantly deviates from a normal distribution. Compared to the Kolmogorov-Smirnov test, which can also assess normality but is less powerful when sample sizes are small, the Shapiro-Wilk test is generally more sensitive and capable of detecting departures from normality even in fewer data points. This heightened sensitivity means that the Shapiro-Wilk test is more likely to yield statistically significant results under certain conditions, particularly when the sample size is small and the data deviates from a normal distribution. Other options, while used in different contexts, do not serve the same purpose in detecting normality or specific distribution characteristics as directly or as effectively as the Shapiro-Wilk test does in relation to the Kolmogorov-Smirnov test.

The Shapiro-Wilk test is primarily used to assess the normality of a distribution. A statistically significant result from this test indicates that the data significantly deviates from a normal distribution. Compared to the Kolmogorov-Smirnov test, which can also assess normality but is less powerful when sample sizes are small, the Shapiro-Wilk test is generally more sensitive and capable of detecting departures from normality even in fewer data points. This heightened sensitivity means that the Shapiro-Wilk test is more likely to yield statistically significant results under certain conditions, particularly when the sample size is small and the data deviates from a normal distribution.

Other options, while used in different contexts, do not serve the same purpose in detecting normality or specific distribution characteristics as directly or as effectively as the Shapiro-Wilk test does in relation to the Kolmogorov-Smirnov test.

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