Which of the following statements are NOT true of the Kolmogorov-Smirnov (K-S) test with respect to the chi-square goodness-of-fit test?
A) The K-S test can take advantage of the ordinal nature of data, while the chi-square test cannot.
B) In almost all cases, the K-S test is more powerful than the chi-square test.
C) The K-S test requires a certain minimum expected frequency in each cell, while the chi-square test does not.
D) The K-S test is easier to compute than the chi-square test.
E) All of the above are true of the K-S test with respect to the chi-square test.
Correct Answer:
Verified
Q24: A cross-tabulation reveals a high degree of
Q25: Spurious noncorrelation is said to occur when
A)
Q26: The addition of a third variable to
Q27: You are a researcher conducting a cross-tabulation
Q28: There is a great temptation in cross-tabulation
Q29: Which of the following is NOT an
Q30: Which of the following is a disadvantage
Q31: Which of the following kinds of data
Q33: Compared to the chi-square goodness-of -fit test,
Q34: The Kolmogorov-Smirnov test can be used to
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents