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Sheet1Payment27Purpose of Assignment 24The 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. 1439Assignment Steps 1331Resources: Microsoft
Excel®, Case Study Scenarios, SpeedX Payment
Times2633Develop a 700- to 1,050-word statistical analysis
based on the Case Study Scenarios and SpeedX Payment
Times. 1323Include answers to the following: 1724Case 1:
Election Results 18Use 0.10 as the significance level
(α).34Conduct 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. 13Case 2:
SpeedX23Use 0.10 and the significance level (α).16Conduct a
one-sample hypothesis test and determine if you can convince
the CFO to conclude the plan will be
profitable. 3230Format your assignment consistent with APA
format. 2921192214272011203024182124182727272122231817
23262020222113361825261916281620161425143517161919171
82223222723232120182932271521263220292515213024231418
22372435292417271519121921192115172021311927192626262
31220342124202116231319183129232819192224212314251722
21182215271423252424171630241727241710251513292122112
53023181918142122171923312625151628272212251221192616
2130162513111322281421301914319142128
Title
ABC/123 Version X
1Case 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
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.

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Sheet1Payment27Purpose of Assignment 24The purpose of this assignm.docx

  • 1. Sheet1Payment27Purpose of Assignment 24The 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. 1439Assignment Steps 1331Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment Times2633Develop a 700- to 1,050-word statistical analysis based on the Case Study Scenarios and SpeedX Payment Times. 1323Include answers to the following: 1724Case 1: Election Results 18Use 0.10 as the significance level (α).34Conduct 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. 13Case 2: SpeedX23Use 0.10 and the significance level (α).16Conduct a one-sample hypothesis test and determine if you can convince the CFO to conclude the plan will be profitable. 3230Format your assignment consistent with APA format. 2921192214272011203024182124182727272122231817 23262020222113361825261916281620161425143517161919171 82223222723232120182932271521263220292515213024231418 22372435292417271519121921192115172021311927192626262 31220342124202116231319183129232819192224212314251722 21182215271423252424171630241727241710251513292122112 53023181918142122171923312625151628272212251221192616 2130162513111322281421301914319142128 Title ABC/123 Version X
  • 2. 1Case 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 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
  • 3. 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.