Spicy wings Case My portion is only the highlighted portion. Purpose of Assignment  The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covered in Weeks 1 and 2 and one-sample hypothesis testing to make managerial decisions. In this assignment, students will develop the ability to use statistical analysis and verify whether or not a claim is valid before advertising it. Assignment Steps  Resources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings Data Set  Develop a 700-word statistical analysis. Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance. Find the following for your measures: · Mean · Standard deviation · Sample size · Five-number summary on the total time  Conduct a formal hypothesis testing to help John decide whether to offer the delivery guarantee or not.  Estimate the probability of an order taking longer than 30 minutes.  Make a recommendation in a short narrative including the following: · Based on the sampled data, should John offer the guarantee? · What percent of the Saturday deliveries would result in a customer receiving a free order? · What recommendations might help John improve his Saturday delivery times? One-Sample Hypothesis Testing Cases Purpose of Assignment  The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covered in Weeks 1 and 2 and one-sample hypothesis testing to make managerial decisions. In this assignment, students will learn how statistical analysis is used in predicting an election winner in the first case. In the second case, students will conduct a hypothesis test to decide whether or not a shipping plan will be profitable. Assignment Steps  Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment Times Develop a 700- to 1,050-word statistical analysis based on the Case Study Scenarios and SpeedX Payment Times.  Include answers to the following:  Case 1: Election Results  · Use 0.10 as the significance level (α). · Conduct a one-sample hypothesis test to determine if the networks should announce at 8:01 P.M. the Republican candidate George W. Bush will win the state. Case 2: SpeedX · Use 0.10 and the significance level (α). · Conduct a one-sample hypothesis test and determine if you can convince the CFO to conclude the plan will be profitable. Format your assignment consistent with APA format. Title ABC/123 Version X 1 Case Study – Election Results and SppedX QNT/561 Version 9 1 University of Phoenix MaterialCase Study – Election Results When an election for political office takes place, the television networks cancel regular programming and instead, provide election coverage. When the ballots are counted, the results are reported. However, for important offices such as president or senator in large states, the networks actively compete to see which will be the first to predict a winner..

1. Spicy wings Case
My portion is only the highlighted portion.
Purpose of Assignment
The purpose of this assignment is to develop students' abilities
to combine the knowledge of descriptive statistics covered in
Weeks 1 and 2 and one-sample hypothesis testing to make
managerial decisions. In this assignment, students will develop
the ability to use statistical analysis and verify whether or not a
claim is valid before advertising it.
Assignment Steps
Resources: Microsoft Excel®, Spicy Wings Case Study, Spicy
Wings Data Set
Develop a 700-word statistical analysis.
Use descriptive statistics to compute a measure of performance
John can use to analyze his delivery performance. Find the
following for your measures:
· Mean
· Standard deviation
· Sample size
· Five-number summary on the total time
Conduct a formal hypothesis testing to help John decide
whether to offer the delivery guarantee or not.
Estimate the probability of an order taking longer than 30
minutes.
Make a recommendation in a short narrative including the
following:
· Based on the sampled data, should John offer the guarantee?
· What percent of the Saturday deliveries would result in a
customer receiving a free order?
· What recommendations might help John improve his Saturday
delivery times?

2. One-Sample Hypothesis Testing Cases
Purpose of Assignment
The purpose of this assignment is to develop students' abilities
to combine the knowledge of descriptive statistics covered in
Weeks 1 and 2 and one-sample hypothesis testing to make
managerial decisions. In this assignment, students will learn
how statistical analysis is used in predicting an election winner
in the first case. In the second case, students will conduct a
hypothesis test to decide whether or not a shipping plan will be
profitable.
Assignment Steps
Resources: Microsoft Excel®, Case Study Scenarios, SpeedX
Payment Times
Develop a 700- to 1,050-word statistical analysis based on the
Case Study Scenarios and SpeedX Payment Times.
Include answers to the following:
Case 1: Election Results
· Use 0.10 as the significance level (α).
· Conduct a one-sample hypothesis test to determine if the
networks should announce at 8:01 P.M. the Republican
candidate George W. Bush will win the state.
Case 2: SpeedX
· Use 0.10 and the significance level (α).
· Conduct a one-sample hypothesis test and determine if you can
convince the CFO to conclude the plan will be profitable.
Format your assignment consistent with APA format.
Title
ABC/123 Version X

3. 1
Case Study – Election Results and SppedX
QNT/561 Version 9
1
University of Phoenix MaterialCase Study – Election Results
When an election for political office takes place, the television
networks cancel regular programming and instead, provide
election coverage. When the ballots are counted, the results are
reported. However, for important offices such as president or
senator in large states, the networks actively compete to see
which will be the first to predict a winner. This is done through
exit polls, wherein a random sample of voters who exit the
polling booth is asked for whom they voted. From the data, the
sample proportion of voters supporting the candidates is
computed. Hypothesis testing is applied to determine whether
there is enough evidence to infer the leading candidate will
garner enough votes to win.
Suppose in the exit poll from the state of Florida during the
2000 year elections, the pollsters recorded only the votes of the
two candidates who had any chance of winning: Democrat Al
Gore and Republican George W. Bush. In a sample of 765
voters, the number of votes cast for Al Gore was 358 and the
number of votes cast for George W. Bush was 407. The network
predicts the candidate as a winner if he wins more than 50% of
the votes. The polls close at 8:00 P.M. Based on the sample
results, conduct a one-sample hypothesis test to determine if the
networks should announce at 8:01 P.M. the Republican
candidate George W. Bush will win the state. Use 0.10 as the
significance level (α).
Case Study – SpeedX
SpeedX, a large courier company, sends invoices to customers
requesting payment within 30 days. The bill lists an address,
and customers are expected to use their own envelopes to return
their payments. Currently, the mean and standard deviation of

4. the amount of time taken to pay bills are 24 days and 6 days,
respectively. The chief financial officer (CFO) believes
including a stamped self-addressed envelope would decrease the
amount of time. She calculates the improved cash flow from a
2-day decrease in the payment period would pay for the costs of
the envelopes and stamps. You have an MBA from the
University of Phoenix, and work for SpeedX as a business
analyst. One of your job duties is to run analytics and present
the results to the senior management for critical decision-
making. You see this as an opportunity to utilize some of the
skills you gained in the Statistics course. Because of your
strong understanding and background in inferential statistics,
you decide to take up this important assignment. You have
learned any analysis in inferential statistics starts with
sampling. To test the CFO’s belief, you decide to randomly
select 220 customers and propose to include a stamped self-
addressed envelope with their invoices. The CFO accepts your
proposal and allows you to run a pilot study. You then record
the numbers of days until payment is received. Using your
statistical expertise and skills you gained in the class, conduct a
one-sample hypothesis test and determine if you can convince
the CFO to conclude that the plan will be profitable. Use 0.10
and the significance level (α).
Copyright © XXXX by University of Phoenix. All rights
reserved.
Copyright © 2017 by University of Phoenix. All rights reserved.
One-Sample Hypothesis Testing Cases Grading Guide
QNT/561 Version 9
3
One-Sample Hypothesis Testing Cases Grading Guide
QNT/561 Version 9

5. Applied Business Research and Statistics
Copyright
Copyright © 2017, 2015, 2014, 2013, 2012, 2011, 2010, 2009,
2008 by University of Phoenix. All rights reserved.
University of Phoenix® is a registered trademark of Apollo
Group, Inc. in the United States and/or other countries.
Microsoft®, Windows®, and Windows NT® are registered
trademarks of Microsoft Corporation in the United States and/or
other countries. All other company and product names are
trademarks or registered trademarks of their respective
companies. Use of these marks is not intended to imply
endorsement, sponsorship, or affiliation.
Edited in accordance with University of Phoenix® editorial
standards and practices.
Individual Assignment: One-Sample Hypothesis Testing
CasesPurpose of Assignment
The purpose of this assignment is to develop students’ abilities
to combine the knowledge of descriptive statistics covered in
Weeks 1 and 2 and one-sample hypothesis testing to make
managerial decisions. In this assignment, students will learn
how statistical analysis is used in predicting an election winner
in the first case. In the second case, students will conduct a
hypothesis test to decide whether or not a shipping plan will be
profitable.Resources Required
· Microsoft Excel®
· Case Study Scenarios

6. · SpeedX Payment TimesGrading Guide
Content
Met
Partially Met
Not Met
Comments:
Develop a 700- to 1,050-word statistical analysis based on the
Case Study Scenarios and SpeedX Payment Times.
Include answers to the following:
Case 1: Election Results
· Use 0.10 as the significance level (α).
· Conduct a one-sample hypothesis test to determine if the
networks should announce at 8:01 P.M. the Republican
candidate George W. Bush will win the state.
Case 2: SpeedX
· Use 0.10 and the significance level (α).
· Conduct a one-sample hypothesis test and determine if you can
convince the CFO to conclude the plan will be profitable.

7. Total Available
Total Earned
3
#/3
Writing Guidelines
Met
Partially Met
Not Met
Comments:
The paper—including tables and graphs, headings, title page,
and reference page—is consistent with APA formatting
guidelines and meets course-level requirements.
Intellectual property is recognized with in-text citations and a
reference page.
Paragraph and sentence transitions are present, logical, and
maintain the flow throughout the paper.
Sentences are complete, clear, and concise.

8. Rules of grammar and usage are followed including spelling and
punctuation.
Total Available
Total Earned
2
#/2
Assignment Total
#
5
#/5
Additional comments:
Sheet1Payment2724143913312633132317241834132316323029
21192214272011203024182124182727272122231817232620202
22113361825261916281620161425143517161919171822232227
23232120182932271521263220292515213024231418223724352
92417271519121921192115172021311927192626262312203421
24202116231319183129232819192224212314251722211822152
71423252424171630241727241710251513292122112530231819
18142122171923312625151628272212251221192616213016251
3111322281421301914319142128

9. Spicy Wings Case
Grading Guide
QNT/561 Version 9
3
Spicy Wings Case Grading Guide
QNT/561 Version 9
Applied Business Research and Statistics
Copyright
Copyright © 2017, 2015, 2014, 2013, 2012, 2011, 2010, 2009,
2008 by University of Phoenix. All rights reserved.
University of Phoenix® is a registered trademark of Apollo
Group, Inc. in the United States and/or other countries.
Microsoft®, Windows®, and Windows NT® are registered
trademarks of Microsoft Corporation in the United States and/or
other countries. All other company and product names are
trademarks or registered trademarks of their respective
companies. Use of these marks is not intended to imply
endorsement, sponsorship, or affiliation.
Edited in accordance with University of Phoenix® editorial
standards and practices.
Learning Team Assignment: Spicy Wings CasePurpose of
Assignment
The purpose of this assignment is to develop students’ abilities

10. to combine the knowledge of descriptive statistics covered in
Weeks 1 and 2 and one-sample hypothesis testing to make
managerial decisions. In this assignment, students will develop
the ability to use statistical analysis and verify whether or not a
claim is valid before advertising it.Resources Required
· Microsoft Excel®
· Spicy Wings Case Study
· Spicy Wings Data SetGrading Guide
Content
Met
Partially Met
Not Met
Comments:
Develop a 700-word statistical analysis.
Use descriptive statistics to compute a measure of performance
John can use to analyze his delivery performance. Find the
following for your measures:
• Mean
• Standard deviation
• Sample size
• Five-number summary on the total time
Conduct a formal hypothesis testing to help John decide
whether to offer the delivery guarantee or not.

11. Estimate the probability of an order taking longer than 30
minutes.
Make a recommendation in a short narrative including the
following:
· Based on the sampled data, should John offer the guarantee?
· What percent of the Saturday deliveries would result in a
customer receiving a free order?
· What recommendations might help John improve his Saturday
delivery times?
Total Available
Total Earned
3
#/3
Writing Guidelines
Met
Partially Met
Not Met

12. Comments:
The paper—including tables and graphs, headings, title page,
and reference page—is consistent with APA formatting
guidelines and meets course-level requirements.
Intellectual property is recognized with in-text citations and a
reference page.
Paragraph and sentence transitions are present, logical, and
maintain the flow throughout the paper.
Sentences are complete, clear, and concise.
Rules of grammar and usage are followed including spelling and
punctuation.
Total Available
Total Earned

13. 2
#/2
Assignment Total
#
5
#/5
Additional comments:
Title
ABC/123 Version X
1
Case Study – Spicy Wings Case Study
QNT/561 Version 9
1
University of Phoenix MaterialCase Study – Spicy Wings Case
Study
Following his graduation from the MBA program at the
University of Phoenix, John Tyler wanted to live and work in
the little town of Hood. However, the community was small and
there were not a lot of readily available opportunities for
college graduates. Fortunately, John had some experience
working in the food service industry gained in summers and
throughout high school at his uncle’s restaurant in Franklin, a
few miles away from the town of Hood. When John decided to
leverage his experience into a small delivery and take-out
restaurant located close to his home, he thought he had hit on a
great idea. John would offer a limited fare consisting of the

14. buffalo wings his uncle had perfected at his restaurant. John
called his restaurant, Spicy Wings. Although success came
slowly, the uniqueness of John’s offering coupled with the
growth of the community made Spicy Wings a success.
John’s business was pretty simple. John purchased wings
locally. The wings were then seasoned and prepared in John’s
restaurant. Once an order was received, John cooked the wings,
which were then delivered or picked up by the customer. John’s
establishment was small, and there was no place for customers
to dine in the restaurant. However, his wings proved so popular
that over time, John hired several employees, including three
delivery drivers. Business was steady and predictable during the
week, with the biggest days being home-game football
Saturdays.
A little over a year ago, the little town of Hood began to grow
and expand. John noticed his business was beginning to suffer
when other fast-food delivery restaurants opened around the
town. Some of these restaurants were offering guarantees such
as “30 minutes or it’s free.” John’s Spicy Wings now had to
compete with fish tacos, specialty pizzas, and gourmet burgers.
Most of these new restaurants, however, were dine-in
establishments providing carry-out and delivery as a customer
convenience. However, John was certain he would need to offer
a delivery guarantee to remain competitive with the newer
establishments.
John was certain a delivery guarantee of “30 minutes or it’s
free” could easily be accomplished every day except on football
Saturdays. John thought if he could offer a 30-minute guarantee
on his busiest day, he would be able to hold onto and perhaps
even recover market share from the competition. However,
before he was willing to commit to such a guarantee, John
wanted to ensure that it was possible to meet the 30-minute
promise.

15. John knew it would be no problem for customers to pick up
orders within 30 minutes of phoning them in. However, he was
less confident about delivering orders to customers in 30
minutes or less. Not only would the wings need to be cooked
and packaged, but the delivery time might be affected by the
availability of drivers. John decided he needed to analyze the
opportunity further.
As a part of his analysis, John decided to take a random sample
of deliveries over five different football weekends. Cooking
time and packaging time were not considered in his analysis
because wings were not cooked for individual orders. Rather,
large numbers of wings were cooked at a single time and then
packaged in boxes of 12. John decided to focus his analysis on
the time required to deliver cooked and packaged wings. He
collected information on the amount of time an order had to
wait for a driver (the pick-up time), as well as the amount of
time required to transport the wings to the customer (the drive
time). The sampled information is in the Excel® file, Spicy
Wings Data Set. John is not willing to offer the guarantee on
football Saturdays, unless he can be reasonably sure the total
time to deliver a customer’s order is less than 30 minutes, on
average. John would also like to have an estimate of the actual
time required to deliver a customer’s order on football
Saturdays. Finally, John would like to know how likely it is the
total time to make a delivery would take more than 30 minutes.
Based on the sampled data, should John offer the guarantee?
What percent of the Saturday deliveries would result in a
customer receiving a free order? What recommendations might
help John improve his Saturday delivery times?
Copyright © XXXX by University of Phoenix. All rights
reserved.
Copyright © 2017 by University of Phoenix. All rights reserved.

16. Week 5 LT Collaborative AssignPick-up TimeDrive TimeTotal
Time4.9426.9631.9021.7321.734.9819.7424.725.0320.0825.114.
1519.0423.194.6716.1720.845.0114.9319.943.8823.9227.82.817
.1519.952.7120.9723.682.7925.8328.624.7315.4120.145.215.53
20.734.1817.0221.25.5723.228.772.7318.1920.924.420.9425.34
017.4617.463.4116.3319.744.1622.5426.73.623.5227.125.453.3
8.75022.8722.873.9618.3122.274.5424.8229.36013.2213.224.21
19.6423.853.2214.1117.33023.6923.695.5515.0420.596.3521.59
27.945.1410.8115.956.1120.4626.573.9515.5619.514.5422.5427
.082.2325.2927.524.9922.8127.84.8323.4528.285.0321.0126.04
3.5621.9425.55.1524.6329.785.6924.1329.823.5915.5219.113.3
928.1531.542.772224.77015.3415.344.2520.3624.613.9713.717.
673.121.9225.024.1322.7326.863.8116.7320.54021.9621.963.95
16.9120.865.9722.2528.224.118.4922.594.2114.7618.973.8324.
0127.843.938.6412.574.7420.5725.31017.5917.595.6120.9326.5
43.81720.84.4623.1727.633.713.5817.286.061420.064.8317.442
2.273.1621.9225.082.520.8723.375.637.4313.064.4113.9318.34
5.2620.0125.27019.7119.713.2619.7222.985.1217.7222.845.071
9.524.57016.4716.474.1418.7822.924.7515.9920.743.6724.1527
.823.0224.5227.543.4718.521.973.318.9622.262.7717.9220.693.
211.2114.41022.3222.32015.215.26.2717.1423.416.416.0622.46
4.6724.9929.663.4112.8316.24020.7520.754.2519.3323.584.611
7.8722.484.4118.9523.365.3123.5428.852.7615.1517.914.6423.
2327.874.3121.9526.264.3922.4726.86011.5811.584.9320.0324.
965.1413.0618.2017.4817.486.3619.8926.252.9917.2620.253.11
14.1317.243.5221.4224.942.9724.6727.642.6226.4729.095.5921
.3626.955.0821.2926.374.0217.9922.01025.5825.584.9314.1519
.08016.3416.34012.2912.296.4421.9728.415.0124.7529.764.411
3.9218.337.6319.1826.81017.1517.155.5311.8317.364.8721.492
6.36010.8210.82018.6218.623.838.9112.745.6323.3829.01017.3
717.3708.98.94.712.2916.99027.7927.793.6818.9622.645.3621.
2226.58019.4919.49019.5219.525.5921.2526.845.9316.0922.02
2.8619.3722.233.617.1220.726.1919.0225.212.5115.9718.48021
.7421.743.7222.3426.066.1521.1627.313.4522.0125.464.4322.3
626.79022.9722.974.271519.275.3424.7830.123.319.412.714.49

17. 15.2419.733.0221.0724.092.6420.9823.62019.6719.67022.9622.
962.518.8221.323.6615.5419.24.1118.0222.135.0317.222.234.5
726.1230.694.7612.2216.983.9523.2827.234.0425.0229.065.416
.3821.782.9116.7119.6209.759.752.421.6724.073.0916.6819.77
6.1325.2231.354.6417.5522.197.1415.86235.5717.0222.592.822
5.0827.95.917.5723.474.7718.8523.626.4417.1323.573.3721.08
24.453.8219.5123.334.6926.7431.43018.4818.483.0220.3223.34
4.6426.2530.89019.119.14.4521.8326.284.4222.1226.544.4622.
4326.894.3721.0125.383.9112.0415.955.7613.0218.78011.3911.
39019.7819.782.8217.1419.965.9219.8425.764.9419.9224.865.8
719.4925.364.0722.3226.397.2216.5923.815.2415.4820.72010.6
10.63.7118.422.11
Column A, Pick-up Time, is the amount of time (in minutes) a
packaged order had to wait to be picked up by a delivery driver.
Column B, Drive Time, is the amount of time (in minutes)
required to deliver the packaged order to the customer after it
has been picked up by the driver.
Column C, Total Time, is the total amount of time. Pick-upTime
+ Drive Time.