BUSOBA 2320
FREQUENTLY TESTED ACTUAL EXAM QUESTIONS
WITH CORRECT ANSWERS
Question 1.
Count Data
ANSWER
These tests are based on sample information summarized as the number of sample items in
each of several categories.
Question 2.
Count
ANSWER
Also known as frequency, the number of items in a category.
Question 3.
Goodness of Fit
ANSWER
Used to "judge" whether or not a particular probability distribution could reasonably model
our sample data. X = Primary variable of interest (can be continuous) -Identify categories for X
and count the number of occurrences in our sample that fall in each category. Ho:
Distribution of X is a "particular probability distribution Ha: Distribution of X is NOT a
"particular probability distribution Ho: X ~ N(Mu, Std) Ha: X not ~ N(Mu, Std) df = k-1 can be
more if we do not know Mu or Std: df = k-m-1
Question 4.
Contingency Test
ANSWER
Used to "judge" whether two categorical variables are independent or associated to one
another. Two applications, both of which require classifying items according to two different
categorical criterion. -Is there evidence that two nominal variables are related or associated?
-Is there evidence of differences among two or more population proportions. Ho: Variable A is
independent of Variable B Ha: Variable A is NOT independent of Variable B Independent of =
Not associated to (r-1)(c-1)
1/7
, Question 5.
Observed Count
ANSWER
Number of items in the sample with a given characteristics or set of characteristics. (Also can
be frequency)
Question 6.
Expected Count
ANSWER
Number of items in the sample that should have a given characteristic or set of characteristics
if the statement in Ho is true. n*p
Question 7.
X-Squared
ANSWER
Symbol for Chi-Square Test Statistic Large differences between the observed and expected
counts indicate incompatibility between what is occurring and what should occur under Ho.
Reject Ho if the observed chi-square value > the critical chi square value (based on alpha)
Question 8.
Data Conditions
ANSWER
GOF: 1.) SRS (random and independent) 2.) Data summarized as counts per category 3.) n>=
30 and all expected counts >= 5 Contingency: 1.) SRS (random and independent) 2.) Data
summarized as counts per category 3.) All expected counts >= 5 Probability distribution with
alpha 1.) critical point or 2.) p-value
Question 9.
Response Vari- able
ANSWER
A quantitative variable whose values are the primary interest. (values inside of a table)
2/7
FREQUENTLY TESTED ACTUAL EXAM QUESTIONS
WITH CORRECT ANSWERS
Question 1.
Count Data
ANSWER
These tests are based on sample information summarized as the number of sample items in
each of several categories.
Question 2.
Count
ANSWER
Also known as frequency, the number of items in a category.
Question 3.
Goodness of Fit
ANSWER
Used to "judge" whether or not a particular probability distribution could reasonably model
our sample data. X = Primary variable of interest (can be continuous) -Identify categories for X
and count the number of occurrences in our sample that fall in each category. Ho:
Distribution of X is a "particular probability distribution Ha: Distribution of X is NOT a
"particular probability distribution Ho: X ~ N(Mu, Std) Ha: X not ~ N(Mu, Std) df = k-1 can be
more if we do not know Mu or Std: df = k-m-1
Question 4.
Contingency Test
ANSWER
Used to "judge" whether two categorical variables are independent or associated to one
another. Two applications, both of which require classifying items according to two different
categorical criterion. -Is there evidence that two nominal variables are related or associated?
-Is there evidence of differences among two or more population proportions. Ho: Variable A is
independent of Variable B Ha: Variable A is NOT independent of Variable B Independent of =
Not associated to (r-1)(c-1)
1/7
, Question 5.
Observed Count
ANSWER
Number of items in the sample with a given characteristics or set of characteristics. (Also can
be frequency)
Question 6.
Expected Count
ANSWER
Number of items in the sample that should have a given characteristic or set of characteristics
if the statement in Ho is true. n*p
Question 7.
X-Squared
ANSWER
Symbol for Chi-Square Test Statistic Large differences between the observed and expected
counts indicate incompatibility between what is occurring and what should occur under Ho.
Reject Ho if the observed chi-square value > the critical chi square value (based on alpha)
Question 8.
Data Conditions
ANSWER
GOF: 1.) SRS (random and independent) 2.) Data summarized as counts per category 3.) n>=
30 and all expected counts >= 5 Contingency: 1.) SRS (random and independent) 2.) Data
summarized as counts per category 3.) All expected counts >= 5 Probability distribution with
alpha 1.) critical point or 2.) p-value
Question 9.
Response Vari- able
ANSWER
A quantitative variable whose values are the primary interest. (values inside of a table)
2/7
