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Jeff= x-3 hours
Kirk= x
2x-3=5
2x=8
x=4
4 hours.........................................................................................................................
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Moore College of Art and Design Hypothesis Test for a Population Mean Discussion
Learn by DoingThis activity gives you practice explaining the different parts of
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Moore College of Art and Design Hypothesis Test for a Population Mean Discussion
Learn by DoingThis activity gives you practice explaining the different parts of
the StatCrunch print-out for a hypothesis test for a population mean.
You will review the meaning of standard error, T-scores and the P-value.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions, grading rubric, and definition of high-quality feedback for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.PromptIn a previous lab we tested the following hypotheses,
H
0
:
μ
=
4.73
and
H
a
:
μ
<
4.73
(where
μ
is the mean number of alcoholic drinks consumed by students at a liberal arts college).In
a random sample of 75 students, the mean was 3.93 alcoholic drinks
consumed in a week. Here is the StatCrunch output from the hypothesis
test.
μ
: Mean of variable
H
0
:
μ
=
4.73
H
A
:
μ
≠
4.73
Hypothesis test results
Variable
Sample Mean
Std. Err.
DF
T-Stat
P-value
number of drinks per week
3.9333333
0.43592434
74
-1.8275343
0.0717
Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-value
In a previous matched pairs lab we tested the following hypotheses, where
μ
is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha:
µ < 0. In a random sample of 11 seeds of each type, the mean of the
differences in the sample was -33.7. Here is a StatCrunch print-out of
the hypothesis test.Paired T hypothesis test:
μ
D
=
μ
1
−
μ
2
: Mean of the difference between Regular seed and Kiln-dried seed
H
0
:
μ
D
=
0
H
A
:
μ
D
<
0
Hypothesis test results
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.0609
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The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers two analysis packages: one based on a sample size of 100 listings, and another based on a sample size of 1,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 1,000 listings than for the package with 100 listings.Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $25,000Cost for service to B&K: $2,000Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $5,000Cost for service to B&K: $10,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for both packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of error
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Most Popular Content
6 pages
Res 710 Mock Pseudo Study Application Autorecovered
Complete this template to document the required areas for your mock pseudo-study. 1. Research Question: Write your researc ...
Res 710 Mock Pseudo Study Application Autorecovered
Complete this template to document the required areas for your mock pseudo-study. 1. Research Question: Write your research question in the field ...
Moore College of Art and Design Hypothesis Test for a Population Mean Discussion
Learn by DoingThis activity gives you practice explaining the different parts of
the StatCrunch print-out for a hypothes ...
Moore College of Art and Design Hypothesis Test for a Population Mean Discussion
Learn by DoingThis activity gives you practice explaining the different parts of
the StatCrunch print-out for a hypothesis test for a population mean.
You will review the meaning of standard error, T-scores and the P-value.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions, grading rubric, and definition of high-quality feedback for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.PromptIn a previous lab we tested the following hypotheses,
H
0
:
μ
=
4.73
and
H
a
:
μ
<
4.73
(where
μ
is the mean number of alcoholic drinks consumed by students at a liberal arts college).In
a random sample of 75 students, the mean was 3.93 alcoholic drinks
consumed in a week. Here is the StatCrunch output from the hypothesis
test.
μ
: Mean of variable
H
0
:
μ
=
4.73
H
A
:
μ
≠
4.73
Hypothesis test results
Variable
Sample Mean
Std. Err.
DF
T-Stat
P-value
number of drinks per week
3.9333333
0.43592434
74
-1.8275343
0.0717
Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-value
In a previous matched pairs lab we tested the following hypotheses, where
μ
is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha:
µ < 0. In a random sample of 11 seeds of each type, the mean of the
differences in the sample was -33.7. Here is a StatCrunch print-out of
the hypothesis test.Paired T hypothesis test:
μ
D
=
μ
1
−
μ
2
: Mean of the difference between Regular seed and Kiln-dried seed
H
0
:
μ
D
=
0
H
A
:
μ
D
<
0
Hypothesis test results
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Regular seed - Kiln-dried seed
-33.727273
19.951346
10
-1.6904761
0.0609
Differences stored in column, Differences.Using this context and the StatCrunch output, explain the meaning of each of the following.
Std. Err (standard error)T-stat (T-score)P-value.
3 pages
Analysis Of Variance
Analysis of variance (ANOVA) is a statistical tool that is used to explore the differences that are exhibited by a particu ...
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Analysis of variance (ANOVA) is a statistical tool that is used to explore the differences that are exhibited by a particular group of elements that ...
MAT 240 Southern New Hampshire University Week 6 B&K Real Estate Company Worksheet
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
MAT 240 Southern New Hampshire University Week 6 B&K Real Estate Company Worksheet
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers two analysis packages: one based on a sample size of 100 listings, and another based on a sample size of 1,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 1,000 listings than for the package with 100 listings.Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $25,000Cost for service to B&K: $2,000Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $5,000Cost for service to B&K: $10,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for both packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of error
MAT 380 Grand Canyon University Week 1 Usefulness of Graphs Questions
Hello, I load my paper that includes 7 questions. Please read and follow the directions. Thanks
MAT 380 Grand Canyon University Week 1 Usefulness of Graphs Questions
Hello, I load my paper that includes 7 questions. Please read and follow the directions. Thanks
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