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CNSL503 / CNSL 503 Module 4 Statistics
Exam 2026/2027 | Practice Questions &
Accurate Solutions
Please match the following questions with their answers for the t-equation to convert a sample
average into a standardized value t0= (x−μ) / (s/√n)
A. What goes in the denominator?
B. What goes in the numerator?
The location of the sample average (adjusted for mu).
The spread of the sample average.
The location of the sample average (adjusted for mu) : What goes in the numerator?
The spread of the sample average. : What goes in the denominator?
Please choose the location and spread for the t-equation for a dependent two-sample situation.
The location of the difference column (¯d−0)
The spread of the difference column (sd/√η)
The location of the sample average (¯x−μ)
The spread of the sample average (s√η)
The location of the difference column
𝑑-0
.
The spread of the difference column
𝑠𝑑/√n
,https://www.stuvia.com/user/quizbit07
Please choose the location and spread for the t-equation for an independent two-sample
situation.
The difference in the two locations (¯x1−¯x2)
The two spreads combined together(√((s21/n1) + (s22/n2))
The location of the column of differences ((¯x1−x2)).
The two spreads added together (S1/√n1 + s2/√n2)
The difference in the two locations
𝑥1−𝑥2
The two spreads combined together
(√((s21/n1) + (s22/n2))
What are the two most significant ways that two-sample situations differ from one-sample
situations?
There are twice as many sources of variation in the situation.
The two spreads can be the same or different.
The two locations can be the same or different.
Step A: Abstract is much more difficult.
There are twice as many sources of variation in the situation.The two spreads can be the same or
different.
Use the information below to determine the dependency of the situation.
,https://www.stuvia.com/user/quizbit07
An instructor teaches a large statistics course at a local university and wonders how this
semester's students will do. Before the semester starts, she randomly samples 50 of her students
and gives them a pretest. After the semester is over, she gives the same students a post test. She
calculates the difference in scores to see how well her students did that semester.
This is a dependent two-sample situation.
This is an independent two-sample situation.
This is a one-sample situation.
This is a quasi-dependent two-sample situation.
This is a dependent two-sample situation.
Use the information below to determine the dependency of the situation.
An instructor teaches a large statistics course at a local university and wonders how this
semester's students will do. Before the semester starts, she randomly samples 50 of her students
and gives them a pretest. After the semester is over, she randomly samples 50 other students
and gives them a post test. She calculates the difference in scores to see how well her students
did that semester.
This is an independent two-sample situation.
This is a dependent two-sample situation.
~This is a rational dependent two-sample situation.
This is a quasi-dependent two-sample situation.
This is an independent two-sample situation.
Use the information below to determine the dependency of the situation.
A researcher in marital relationships wants to study the difference in opinion between husbands
and wives. To get information on this issue she randomly selects 50 husbands and randomly
selects 50 wives. She then gives them a survey of questions designed to answer her question.
, https://www.stuvia.com/user/quizbit07
This is an independent two-sample situation between husbands and wives.
This is a dependent two-sample situation between husbands and wives.
This is a relational-dependent between the husbands and the wives.
This is a quasi-dependent two-sample situation between the husbands and the wives.
This is an independent two-sample situation between husbands and wives.
Use the information below to determine the dependency of the situation.
A nutritionist questions whether two soft drinks have the same effect on weight gain in
teenagers who consume a lot of soft drinks. To find out, she randomly selects 50 teenagers and
asks them to drink only soft drink #1 for six weeks. She then measures the change in weight for
each teenager. Next, she asks the same teenagers to drink only soft drink #2 for six weeks, and
measures the change in weight for each teenager.
This is a dependent two-sample situation between teenagers drinking soft drinks.
This is an independent two-sample situation between teenagers drinking soft drinks.
This situation is dependent on the teenagers drinking a lot of soft drink.
This situation is independent of what the teenager's parents think.
This is a dependent two-sample situation between teenagers drinking soft drinks.
What logic is used in statistics to make it possible to test for the population mean in a dependent
two-sample situation?
Remove the dependency by subtracting the two data values to convert it to a one-sample
situation.
Remove the dependency by adding the two data values to convert it to a one-sample situation.
Ignore the dependency and use caution in the interpretation of the results.
Remove the dependency by changing the sampling design and repeating the experiment.
CNSL503 / CNSL 503 Module 4 Statistics
Exam 2026/2027 | Practice Questions &
Accurate Solutions
Please match the following questions with their answers for the t-equation to convert a sample
average into a standardized value t0= (x−μ) / (s/√n)
A. What goes in the denominator?
B. What goes in the numerator?
The location of the sample average (adjusted for mu).
The spread of the sample average.
The location of the sample average (adjusted for mu) : What goes in the numerator?
The spread of the sample average. : What goes in the denominator?
Please choose the location and spread for the t-equation for a dependent two-sample situation.
The location of the difference column (¯d−0)
The spread of the difference column (sd/√η)
The location of the sample average (¯x−μ)
The spread of the sample average (s√η)
The location of the difference column
𝑑-0
.
The spread of the difference column
𝑠𝑑/√n
,https://www.stuvia.com/user/quizbit07
Please choose the location and spread for the t-equation for an independent two-sample
situation.
The difference in the two locations (¯x1−¯x2)
The two spreads combined together(√((s21/n1) + (s22/n2))
The location of the column of differences ((¯x1−x2)).
The two spreads added together (S1/√n1 + s2/√n2)
The difference in the two locations
𝑥1−𝑥2
The two spreads combined together
(√((s21/n1) + (s22/n2))
What are the two most significant ways that two-sample situations differ from one-sample
situations?
There are twice as many sources of variation in the situation.
The two spreads can be the same or different.
The two locations can be the same or different.
Step A: Abstract is much more difficult.
There are twice as many sources of variation in the situation.The two spreads can be the same or
different.
Use the information below to determine the dependency of the situation.
,https://www.stuvia.com/user/quizbit07
An instructor teaches a large statistics course at a local university and wonders how this
semester's students will do. Before the semester starts, she randomly samples 50 of her students
and gives them a pretest. After the semester is over, she gives the same students a post test. She
calculates the difference in scores to see how well her students did that semester.
This is a dependent two-sample situation.
This is an independent two-sample situation.
This is a one-sample situation.
This is a quasi-dependent two-sample situation.
This is a dependent two-sample situation.
Use the information below to determine the dependency of the situation.
An instructor teaches a large statistics course at a local university and wonders how this
semester's students will do. Before the semester starts, she randomly samples 50 of her students
and gives them a pretest. After the semester is over, she randomly samples 50 other students
and gives them a post test. She calculates the difference in scores to see how well her students
did that semester.
This is an independent two-sample situation.
This is a dependent two-sample situation.
~This is a rational dependent two-sample situation.
This is a quasi-dependent two-sample situation.
This is an independent two-sample situation.
Use the information below to determine the dependency of the situation.
A researcher in marital relationships wants to study the difference in opinion between husbands
and wives. To get information on this issue she randomly selects 50 husbands and randomly
selects 50 wives. She then gives them a survey of questions designed to answer her question.
, https://www.stuvia.com/user/quizbit07
This is an independent two-sample situation between husbands and wives.
This is a dependent two-sample situation between husbands and wives.
This is a relational-dependent between the husbands and the wives.
This is a quasi-dependent two-sample situation between the husbands and the wives.
This is an independent two-sample situation between husbands and wives.
Use the information below to determine the dependency of the situation.
A nutritionist questions whether two soft drinks have the same effect on weight gain in
teenagers who consume a lot of soft drinks. To find out, she randomly selects 50 teenagers and
asks them to drink only soft drink #1 for six weeks. She then measures the change in weight for
each teenager. Next, she asks the same teenagers to drink only soft drink #2 for six weeks, and
measures the change in weight for each teenager.
This is a dependent two-sample situation between teenagers drinking soft drinks.
This is an independent two-sample situation between teenagers drinking soft drinks.
This situation is dependent on the teenagers drinking a lot of soft drink.
This situation is independent of what the teenager's parents think.
This is a dependent two-sample situation between teenagers drinking soft drinks.
What logic is used in statistics to make it possible to test for the population mean in a dependent
two-sample situation?
Remove the dependency by subtracting the two data values to convert it to a one-sample
situation.
Remove the dependency by adding the two data values to convert it to a one-sample situation.
Ignore the dependency and use caution in the interpretation of the results.
Remove the dependency by changing the sampling design and repeating the experiment.
