Question

Part I: Using The Spending Dataset a) [1 Mark] Run the following codes using the student number of the Group Leader only for a group assignment or your student if it is an individual assignment: set.seed(StudentNumber) SpendingSample <- spending [-sample(1:nrow (spending), 83), ] This code will remove 20% of the observations giving you a unique 80% sample dataframe that you will use to answer all remaining questions. As a result, your answers will be different from every other group in the class. Use the new dataframe SpendingSample to answer questions b, c, d, and e. b) [1 Mark] Can we conclude with 95% confidence that persons who own their primary residence (with or without a mortgage) are more likely than renters to own a cell phone? c) [1 Mark] Can we conclude with 95% confidence that more than 60% of respondents own a vehicle? d) [1 Mark] Can we conclude with 95% confidence that persons who own a cell phone have higher total expenditures than persons who do not own a cell phone? e) [1 Mark] Examine the variable TR030_C. Do persons who have a full-time job and possess their own vehicle spend more on vehicle operations than persons with a vehicle who do not have a full-time job? [Assignment continues below]

          Part I: Using The Spending Dataset
a) [1 Mark] Run the following codes using the student number of the Group Leader only for a
group assignment or your student if it is an individual assignment:
set.seed(StudentNumber)
SpendingSample <- spending [-sample(1:nrow (spending), 83), ]
This code will remove 20% of the observations giving you a unique 80% sample dataframe
that you will use to answer all remaining questions. As a result, your answers will be
different from every other group in the class. Use the new dataframe SpendingSample to
answer questions b, c, d, and e.
b) [1 Mark] Can we conclude with 95% confidence that persons who own their primary
residence (with or without a mortgage) are more likely than renters to own a cell phone?
c) [1 Mark] Can we conclude with 95% confidence that more than 60% of respondents own a
vehicle?
d) [1 Mark] Can we conclude with 95% confidence that persons who own a cell phone have
higher total expenditures than persons who do not own a cell phone?
e) [1 Mark] Examine the variable TR030_C. Do persons who have a full-time job and possess
their own vehicle spend more on vehicle operations than persons with a vehicle who do not
have a full-time job?
[Assignment continues below]

Part I: Using The Spending Dataset
a) [1 Mark] Run the following codes using the student number of the Group Leader only for a
group assignment or your student if it is an individual assignment:
set.seed(StudentNumber)
SpendingSample <- spending [-sample(1:nrow (spending), 83), ]
This code will remove 20% of the observations giving you a unique 80% sample dataframe
that you will use to answer all remaining questions. As a result, your answers will be
different from every other group in the class. Use the new dataframe SpendingSample to
answer questions b, c, d, and e.
b) [1 Mark] Can we conclude with 95% confidence that persons who own their primary
residence (with or without a mortgage) are more likely than renters to own a cell phone?
c) [1 Mark] Can we conclude with 95% confidence that more than 60% of respondents own a
vehicle?
d) [1 Mark] Can we conclude with 95% confidence that persons who own a cell phone have
higher total expenditures than persons who do not own a cell phone?
e) [1 Mark] Examine the variable TR030C. Do persons who have a full-time job and possess
their own vehicle spend more on vehicle operations than persons with a vehicle who do not
have a full-time job?
[Assignment continues below]

Added by Charles B.

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