QUESTION 1
The number of degrees of freedom for the appropriate chi-square distribution in goodness of fit test is
A |
n − 1 |
|
B |
(r-1)(c-1) |
|
C |
a chi-square distribution is not used |
|
D |
k − 1 |
QUESTION 2
A goodness of fit test and test of independence is always conducted as a
A |
upper-tail test |
|
B |
left-tail test |
|
C |
middle test |
|
D |
lower-tail test |
QUESTION 3
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is
A |
number of rows minus 1 times number of columns minus 1 |
|
B |
a chi-square distribution is not used |
|
C |
number of groups minus 1 |
|
D |
sample size minus 1 |
QUESTION 4
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a contingency table test must be
A |
at least 5 |
|
B |
at least 10 |
|
C |
no more than 5 |
|
D |
less than 2 |
QUESTION 5
The sampling distribution for a goodness of fit test is the
A |
Poisson distribution |
|
B |
chi-square distribution |
|
C |
normal distribution |
|
D |
t distribution |
Q1. The degrees of freedom for chi-square goodness of fit test is:
k - 1
where k is the number of observed cells
Correct option: D) k - 1
Q2. A goodness of fit test and test of independence is always conducted as a upper tail test because more the difference between the observed and expected values, more the statistic will shift towards the right and we will reject it.
Correct option: A) upper tail test
Q3. For chi-square test of independence:
df = (r - 1) x (c - 1)
r = number of rows
c = number of columns
Correct option: A)
Q4. In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a contingency table test must be atleast 5
Correct option: A) at least 5
Q5. The sampling distribution for a goodness of fit test is the
B) Chi-square distribution
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