i. Nonparametric tests require no assumptions about the shape of the population distribution.
ii. Tests of hypotheses for nominal or ordinal levels of measurement are called nonparametric or distribution-free tests.
Iii) There is not one, but a family of chi-square distributions. There is a chi-square distribution for 1 degree of freedom, another for 2 degrees of freedom, another for 3 degrees of freedom, and so on.
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) All statements are false
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Q44: i. Nonparametric tests of hypotheses, which are
Q45: i. Nonparametric tests of hypotheses, which are
Q46: i. Nonparametric tests require no assumptions about
Q47: To find the expected frequency in a
Q48: i. The computed value of chi-square is
Q50: i. Small differences between observed and expected
Q51: i. The shape of the chi-square distribution
Q52: Suppose that we wish to test the
Q53: The chi-square distribution can assume:
A) only positive
Q54: Two chi-square distributions were plotted on the
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