One-Sample Hypothesis Testing Cases

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Mathematics

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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.

Unformatted Attachment Preview

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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). 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. Copyright © 2017 by University of Phoenix. All rights reserved. 1 Case Study – Election Results and SppedX QNT/561 Version 9 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. Click the Assignment Files tab to submit your assignment. Copyright © 2017 by University of Phoenix. All rights reserved. 2
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Explanation & Answer

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Hypothesis test for proportion vs hypothesized value
Observed Hypothesized
0,532
0,5 p (as decimal)
407/765
383/765 p (as fraction)
407,
382,5 X
765
765 n
0,018 std. error
1,77 z
0,0382 p-value (one-tailed, upper)
0,5023 confidence interval 90.% lower
0,5617 confidence interval 90.% upper
0,0297 margin of error

Payment
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Hypothesis Test: Mean vs. Hypothesized Valu
22
21,632
6
0,40452
220
-0,90972
0,1815
1,645
20,96656
22,29744
0,665435

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vs. Hypothesized Value
hypothesized value
mean Payment
std. dev.
std. error
n
z
p-value (one-tailed, lower)
Critical value
confidence interval 90.% lower
confidence interval 90.% upper
margin of error

0,03793

0,36944


Running head: HYPOTHESIS TESTING

1

Hypothesis testing
Name
Institution
Date

HYPOTHESIS TESTING

2

Case1: Elections results
During an election period, TV networks suspend their normal programming to cover
elections. For senatorial or presidential elections, the networks go beyond reporting to predict the
winning candidate. Data is collected through interviewing voters who exit polling booths and
then hypothesis testing is employed in order to determine if the leading candidate will emerge
the victor. In this case, the data was collected for the 2 leading presidential candidates; Al Gore
and George Bush, in the California state. A sample of 765 voters was selected, with 358 votes
cast were for Al Gore, and 407 votes cast for Bush. For a presidential candidate to be anno...


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