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[Show more]STAT 200 Week 1 Homework Problems 
1.1.4 To estimate the percentage of households in Connecticut which use fuel oil as a heating source, a 
researcher collects information from 1000 Connecticut households about what fuel is their heating 
source. State the individual, variable, population, sample, p...
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Add to cartSTAT 200 Week 1 Homework Problems 
1.1.4 To estimate the percentage of households in Connecticut which use fuel oil as a heating source, a 
researcher collects information from 1000 Connecticut households about what fuel is their heating 
source. State the individual, variable, population, sample, p...
STAT 200 Week 3 Homework Problems 
4.1.4 
A project conducted by the Australian Federal Office of Road Safety asked people many questions about 
their cars. One question was the reason that a person chooses a given car, and that data is in table 
#4.1.4 ("Car preferences," 2013). 
Table #4.1.4: Re...
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Add to cartSTAT 200 Week 3 Homework Problems 
4.1.4 
A project conducted by the Australian Federal Office of Road Safety asked people many questions about 
their cars. One question was the reason that a person chooses a given car, and that data is in table 
#4.1.4 ("Car preferences," 2013). 
Table #4.1.4: Re...
Assignment #3: Inferential Statistics Analysis and Writeup 
Identifying Information 
Student (Full Name): 
Class: Stat 200 
Instructor: 
Date: 
Part A: Inferential Statistics Data Analysis Plan and Computation 
Introduction: 
For this assignment, I have elected to establish a scenario of a 36 year o...
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Add to cartAssignment #3: Inferential Statistics Analysis and Writeup 
Identifying Information 
Student (Full Name): 
Class: Stat 200 
Instructor: 
Date: 
Part A: Inferential Statistics Data Analysis Plan and Computation 
Introduction: 
For this assignment, I have elected to establish a scenario of a 36 year o...
STAT 200 Week 4 Homework Problems 
6.1.2 
1.) The commuter trains on the Red Line for the Regional Transit Authority (RTA) in Cleveland, OH, 
have a waiting time during peak rush hour periods of eight minutes ("2012 annual report," 
2012). 
a.) State the random variable. 
x=waiting time during pea...
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Add to cartSTAT 200 Week 4 Homework Problems 
6.1.2 
1.) The commuter trains on the Red Line for the Regional Transit Authority (RTA) in Cleveland, OH, 
have a waiting time during peak rush hour periods of eight minutes ("2012 annual report," 
2012). 
a.) State the random variable. 
x=waiting time during pea...
STAT 200 Week 5 Homework Problems 
7.1.2 
According to the February 2008 Federal Trade Commission report on 
consumer fraud and identity theft, 23% of all complaints in 2007 were for 
identity theft. In that year, Alaska had 321 complaints of identity theft out of 
1,432 consumer complaints ("Consu...
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Add to cartSTAT 200 Week 5 Homework Problems 
7.1.2 
According to the February 2008 Federal Trade Commission report on 
consumer fraud and identity theft, 23% of all complaints in 2007 were for 
identity theft. In that year, Alaska had 321 complaints of identity theft out of 
1,432 consumer complaints ("Consu...
1) According to the February 2008 Federal Trade Commission report on consumer fraud and 
identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 
complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). 
Does this data ...
Preview 2 out of 7 pages
Add to cart1) According to the February 2008 Federal Trade Commission report on consumer fraud and 
identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 
complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). 
Does this data ...
STAT 200 Week 7 Homework Problems 
10.1.2 
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the 
house brings in ("Capital and rental," 2013). Create a scatter plot and find a regression equation 
between house value and rental income. Then use the regre...
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Add to cartSTAT 200 Week 7 Homework Problems 
10.1.2 
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the 
house brings in ("Capital and rental," 2013). Create a scatter plot and find a regression equation 
between house value and rental income. Then use the regre...
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