Chapter 12: Tests of Goodness of Fit and Independence
Quiz
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A population where each element of the population is assigned to one and only one of several classes or categories is a
multinomial population
Poisson population
normal population
none of the above
The sampling distribution for a goodness of fit test is the
a. Poisson distribution
b. t distribution
c. normal distribution
d. chi-square distribution
e. any of the above
A goodness of fit test is always conducted as
a lower tail test
an upper tail test
either a and b
none of the above
An important application of the chi-square distribution is
making inferences about a single population variance
testing for goodness of fit
testing for the independence of two variables
all of the above
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is
n - 1
k - 1
the number of rows minus 1 times number of columns minus 1
a chi-square distribution is not used
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a goodness of fit test must be
at least 5
at least 10
no more than 5
the number does not matter
A statistical test conducted to determine whether to reject or not reject a hypothesized probability distribution for a population is known as a
contingency test
probability test
goodness of fit test
none of the above
The degrees of freedom for a contingency table with 21 rows and 7 columns is
20
27
26
147
120
Which one of the following probability distributions is used for determining whether or not a population has a Poisson probability distrubiton?
F-distribution
Normal distribution
Binomial distribution
Chi-square distribution
none of the above
The null hypothesis regarding a contingency table with 6 rows and 4 columns should be rejected (at 95% confidence) if the test statistic is greater than