Test Bank For Statistics Unlocking the Power of Data, 3rd Edition Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock Chapter 1-10

TEST BANK FOR bn bn


Statistics Unlocking the Power of Data, 3rd Edition Robin H. Lock, Patti Frazer Lock, Kari
bn bn bn bn bn bn bn bn bn bn bn bn bn bn


Lock Morgan, Eric F. Lock, Dennis F. Lock
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Chapter 1-10 bn




Chapter 1 Collecting Data bn bn


1.1 The Structure of Data bn bn bn




Use the following to answer the questions below:
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A high school senior is collecting data on the colleges in which she is interested. Identify
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the variables as either categorical or quantitative.
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1) Type of college: Private or Public
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college Answer: Categorical
bn bn b n


Diff: 1 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




2) Tuition: in thousands of bn bn bn


dollars Answer: Quantitative
bn bn b n


Diff: 1 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




3) State: the state in which the college is
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located Answer: Categorical
bn bn b n


Diff: 1 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




4) Zip Code: the zip code of the part of the country in which the college is
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located Answer: Categorical
bn bn b n


Diff: 2 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




5) Enrollment: the number of students enrolled at the bn bn bn bn bn bn bn


college Answer: Quantitative
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Diff: 1 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




6) Student-Faculty Ratio: the number of students divided by the number of bn bn bn bn bn bn bn bn bn bn


faculty Answer: Quantitative
bn bn b n


Diff: 1 Type: SA
bn Var: 1 bn bn


L.O.: 1.1.2 b n b n




7) Graduation Rate: as a bn bn bn


percentage Answer:
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b Quantitative
n


Diff: 1 Type: SA
bn bn Var: 1 bn




1

,L.O.: b n b n 1.1.2




2

,Use the following to answer the questions below:
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A high school senior is collecting data on the colleges in which she is interested,
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including the following variables: Type of college, Tuition, State, Enrollment,
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Student-Faculty Ratio, Graduation Rate
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8) What are the cases in the high school senior's dataset?
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A) Colleges
B) Tuition
C) Graduation Rate bn


D) State
Answer:
bn


b A n


Diff: 2 Type: BI
bn Var: 1 bn bn


L.O.: 1.1.1 b n b n




9) Refer to the variables collected by the high school senior looking at colleges.
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Identify a question we might ask about any one of these individual variables.
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Answer: Answers will vary. Some possible answers include:
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Type of college: Is she considering more private schools than public schools?
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Tuition: What is the average tuition of the colleges she is considering? What is the
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"cheapest" school she is considering? What is the most expensive school she is
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considering?
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State: Is there a state that she seems to prefer?
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Enrollment: What is the average size of the colleges she is considering? What is the largest
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college she is considering? What is the largest college she is considering?
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Student-Faculty Ratio: What is the average SF ratio for the schools she is considering?
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What is the smallest SF ratio for the schools she is considering? What is the largest SF
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ratio for the schools she is considering?
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Graduation Rate: What is the average graduation rate for the schools she is considering?
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What is the lowest graduation rate for the schools she is considering? What is the highest
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graduation rate for the schools she is considering?
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Diff: 2 bn Type: ES b n Var: 1 b n b n b n bn b n b n b n b n bn


L.O.: 1.1.4;1.1.5
b n b n




10) Refer to the variables collected by the high school senior looking at colleges.
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Identify a question that we might ask about relationships between any two (or more) of
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these variables. Answer: Answers will vary. Some possible answers include:
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Which type of schools tend to cost more, the private or the public schools?
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Which type of schools tend to have the higher graduation rate, the private or public
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schools? Which type of schools tend to have the lower student-faculty ratio, the private or
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public schools? Which state is the most expensive?
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Can student-faculty ratio be used to predict
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tuition? Can graduation rate be used to predict
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tuition?
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Can enrollment be used to predict
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tuition? Diff: 2
bn Type: ES
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Var: 1 bn




3

, L.O.: b n b n 1.1.4;1.1.5




4