I a Goodness-Of-fiT Test Is a Nonparametric Test Involving a Set

i. A goodness-of-fit test is a nonparametric test involving a set of observed frequencies and a
Corresponding set of expected frequencies.
ii. For a goodness-of-fit test, the following are possible null and alternate hypotheses: Null: Sales are
Uniformly distributed among the five locations. Alternate: Sales are not uniformly distributed among
The five locations.
iii. In the goodness-of-fit test, the chi-square distribution is used to determine how well an observed
Set of observations "fits" an "expected" set of observations.

A) (i) , (ii) , and (iii) are all correct statements.
B) (i) and (ii) are correct statements but not (iii) .
C) (i) and (iii) are correct statements but not (ii) .
D) (ii) and (iii) are correct statements but not (i) .
E) (i) , (ii) , and (iii) are all false statements.