Quantitative methods and analysis

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Skip This Navigation Quantitative Methods and Analysis(BUSN311-2002B-03) Survey of Human Resource Management(MGMT315-2002B-02) Quantitative Methods and Analysis (BUSN311-2002B-03) Skip this navigation Current Grade: Current Grade (hidden) - Gradebook showhide 0 0 Unread Announcement LDA: 5/31/20
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Unit 4 - Submission 

View Assignment Details for Unit 4 - Submission as PDF

Assignment Overview

Assignment:  Unit 4 - Submission Type:  Other Unit:  Hypothesis Testing & Variance Due Date:  Tue,6/2/20 Grading Type:  Numeric Points Possible:  60 Points Earned:  not available Deliverable Length:  See assignment details View objectives for this assignment

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    Assignment Details

    Assignment Description

    You will create this assignment following the Assignment Detail instructions below. This assignment will be submitted in the Unit 4 - Submission Assignment lesson in intellipath.

    Review the tutorial titled How to Submit the Intellipath Submission Assignment.

    Please submit your work to this week’s Intellipath Unit Submission lesson. Click the Upload button within the submission lesson to access the submission area. Click the Select File button to upload your document, and then click "OK" to finish.

    Assignment Details

    One of the items that businesses would like to be able to test is whether or not a change they make to their procedures is effective. Remember that when you create a hypothesis and then test it, you have to take into consideration that some variance between what you expect and what you collect as actual data is because of random chance. However, if the difference between what you expect and what you collect is large enough, you can more readily say that the variance is at least in part because of some other thing that you have done, such as a change in procedure.

    For this submission, you will watch a video about the Chi-square test. This test looks for variations between expected and actual data and applies a relatively simple mathematical calculation to determine whether you are looking at random chance or if the variance can be attributed to a variable that you are testing for.

    Imagine that a company wants to test whether it is a better idea to assign each sales representative to a defined territory or allow him or her to work without a defined territory. The company expects their sales reps to sell the same number of widgets each month, no matter where they work. The company creates a null and alternate hypothesis to test sales from defined territory sales versus open sales.

    One of the best ways to test a hypothesis is through a Chi-square test of a null hypothesis. A null hypothesis looks for there to be no relationship between two items. Therefore, the company creates the following null hypothesis to test: There is no relationship between the amount of sales that a representative makes and the type of territory (defined or open) that a representative works in. The alternate hypothesis would be the following: There is a relationship between the kind of sales territory a sale representative has (defined or open) and the amount of sales he or she makes during a month.

    Step 1:

    Watch this video.

    Step 2:

    Use the following data to conduct a Chi-square test for each region of the company in the same manner you viewed in the video:

    Region Expected

    Actual

    Southeast

    Defined

    100 98

    Open

    100 104
    Northeast

    Defined

    150 188

    Open

    150 214
    Midwest

    Defined

    125 120

    Open

    125 108
    Pacific

    Defined

    200 205

    Open

    200 278

    Step 3:

    Write an 800–1,000-word essay, utilizing APA formatting, to discuss the following:

    • Describe why hypothesis testing is important to businesses.
    • Report your findings from each Chi-square test that you conducted.
    • Based solely on the Chi-square test, discuss whether the company should accept the null hypothesis in each region or reject it in favor of the alternate hypothesis.
    • Discuss any other statistical analyses you would want the company to contemplate before deciding if it will go with a defined or open sales strategy.
    • Describe and discuss at least 1 other business scenario in which you believe Chi-square testing would be helpful to a company.

    Reference

    Bozeman Science. (2011, November 13). Chi-squared test [Video file]. Retrieved from https://www.youtube.com/watch?v=WXPBoFDqNVk

    Grading Rubric:

    Grading Criteria

    Percentage
    Deliverable requirements addressed; understanding of material and writer's message and intent are clear.

    35%

    Scholarly research supports the writer's position and is properly acknowledged, and cited direct quotations may not exceed 10% of the word count of the body of the assignment deliverable (excluding title page, abstract, table of contents, tables, exhibits, appendices, and reference pages). Inclusion of plagiarized content will not be tolerated and may result in adverse academic consequences.

    20%

    Critical thinking: Position is well-justified, there is logical flow, and there are examples.

    20%

    Structure: Includes introduction and conclusion, proper paragraph format, and reads as a polished, academic paper or professional presentation, as appropriate for the required assignment deliverable.

    10%

    Mechanical: No spelling, grammatical, or punctuation errors.

    10%

    APA: Deliverable is cited properly according to the APA Publication Manual (6th ed.).

    5%

    If you are planning to repurpose an assignment or submit one you have used before, please let your instructor know. If an instructor is not made aware of work being repurposed or reused, he or she will treat the assignment as a plagiarized task and reserves the right to post an F grade and submit a task for review to administration until proof of originality is provided. Click here for more information.

    The following are some tips if you have problems submitting your assignment:

    1. Resave in the proper format per the Assignment Detail instructions, and resubmit.
    2. Submit with a different Web browser.
    3. Submit from a different computer.
    4. Call Technical Support at 877-221-5800, Menu Option 2. They are open 24/7.
    5. If you are still having difficulties after trying steps 1–4, please contact your course instructor.
    Make sure you submit this assignment by the listed due date. Late deductions will apply for this assignment as follows:
    1. Assignments submitted within 7 calendar days after the stated due date: 10% penalty of total assignment points.
    2. Assignments submitted 8–14 calendar days after the stated due date: 20% penalty of total assignment points.
    3. Assignments submitted 15–21 calendar days after the stated due date: 30% penalty of total assignment points.
    4. Assignments submitted 22–28 calendar days after the stated due date: 40% penalty of total assignment points.
    5. No assignments, including late assignments, will be accepted after the end of the course unless an approved Incomplete has been granted.

    Reading Assignment

    Elementary Statistics:

    • Chapter 4

    Assignment Objectives

    • Determine the best sampling methodology to use with hypothesis testing
    • Evaluate the outcomes of hypothesis testing.
    • Relate hypothesis testing to real work experiences
    • Understand hypothesis errors

    Other Information

    There is no additional information to display at this time.

    Legend

    Extra Credit View Assignment Rubric

    Assignment Details

    Assignment Description

    You will create this assignment following the Assignment Detail instructions below. This assignment will be submitted in the Unit 4 - Submission Assignment lesson in intellipath.

    Review the tutorial titled How to Submit the Intellipath Submission Assignment.

    Please submit your work to this week’s Intellipath Unit Submission lesson. Click the Upload button within the submission lesson to access the submission area. Click the Select File button to upload your document, and then click "OK" to finish.

    Assignment Details

    One of the items that businesses would like to be able to test is whether or not a change they make to their procedures is effective. Remember that when you create a hypothesis and then test it, you have to take into consideration that some variance between what you expect and what you collect as actual data is because of random chance. However, if the difference between what you expect and what you collect is large enough, you can more readily say that the variance is at least in part because of some other thing that you have done, such as a change in procedure.

    For this submission, you will watch a video about the Chi-square test. This test looks for variations between expected and actual data and applies a relatively simple mathematical calculation to determine whether you are looking at random chance or if the variance can be attributed to a variable that you are testing for.

    Imagine that a company wants to test whether it is a better idea to assign each sales representative to a defined territory or allow him or her to work without a defined territory. The company expects their sales reps to sell the same number of widgets each month, no matter where they work. The company creates a null and alternate hypothesis to test sales from defined territory sales versus open sales.

    One of the best ways to test a hypothesis is through a Chi-square test of a null hypothesis. A null hypothesis looks for there to be no relationship between two items. Therefore, the company creates the following null hypothesis to test: There is no relationship between the amount of sales that a representative makes and the type of territory (defined or open) that a representative works in. The alternate hypothesis would be the following: There is a relationship between the kind of sales territory a sale representative has (defined or open) and the amount of sales he or she makes during a month.

    Step 1:

    Watch this video.

    Step 2:

    Use the following data to conduct a Chi-square test for each region of the company in the same manner you viewed in the video:

    Region Expected

    Actual

    Southeast

    Defined

    100 98

    Open

    100 104
    Northeast

    Defined

    150 188

    Open

    150 214
    Midwest

    Defined

    125 120

    Open

    125 108
    Pacific

    Defined

    200 205

    Open

    200 278

    Step 3:

    Write an 800–1,000-word essay, utilizing APA formatting, to discuss the following:

    • Describe why hypothesis testing is important to businesses.
    • Report your findings from each Chi-square test that you conducted.
    • Based solely on the Chi-square test, discuss whether the company should accept the null hypothesis in each region or reject it in favor of the alternate hypothesis.
    • Discuss any other statistical analyses you would want the company to contemplate before deciding if it will go with a defined or open sales strategy.
    • Describe and discuss at least 1 other business scenario in which you believe Chi-square testing would be helpful to a company.

    Reference

    Bozeman Science. (2011, November 13). Chi-squared test [Video file]. Retrieved from https://www.youtube.com/watch?v=WXPBoFDqNVk

    Grading Rubric:

    Grading Criteria

    Percentage
    Deliverable requirements addressed; understanding of material and writer's message and intent are clear.

    35%

    Scholarly research supports the writer's position and is properly acknowledged, and cited direct quotations may not exceed 10% of the word count of the body of the assignment deliverable (excluding title page, abstract, table of contents, tables, exhibits, appendices, and reference pages). Inclusion of plagiarized content will not be tolerated and may result in adverse academic consequences.

    20%

    Critical thinking: Position is well-justified, there is logical flow, and there are examples.

    20%

    Structure: Includes introduction and conclusion, proper paragraph format, and reads as a polished, academic paper or professional presentation, as appropriate for the required assignment deliverable.

    10%

    Mechanical: No spelling, grammatical, or punctuation errors.

    10%

    APA: Deliverable is cited properly according to the APA Publication Manual (6th ed.).

    5%

    If you are planning to repurpose an assignment or submit one you have used before, please let your instructor know. If an instructor is not made aware of work being repurposed or reused, he or she will treat the assignment as a plagiarized task and reserves the right to post an F grade and submit a task for review to administration until proof of originality is provided. Click here for more information.

    The following are some tips if you have problems submitting your assignment:

    1. Resave in the proper format per the Assignment Detail instructions, and resubmit.
    2. Submit with a different Web browser.
    3. Submit from a different computer.
    4. Call Technical Support at 877-221-5800, Menu Option 2. They are open 24/7.
    5. If you are still having difficulties after trying steps 1–4, please contact your course instructor.
    Make sure you submit this assignment by the listed due date. Late deductions will apply for this assignment as follows:
    1. Assignments submitted within 7 calendar days after the stated due date: 10% penalty of total assignment points.
    2. Assignments submitted 8–14 calendar days after the stated due date: 20% penalty of total assignment points.
    3. Assignments submitted 15–21 calendar days after the stated due date: 30% penalty of total assignment points.
    4. Assignments submitted 22–28 calendar days after the stated due date: 40% penalty of total assignment points.
    5. No assignments, including late assignments, will be accepted after the end of the course unless an approved Incomplete has been granted.

    Reading Assignment

    Elementary Statistics:

    • Chapter 4

    Assignment Objectives

    • Determine the best sampling methodology to use with hypothesis testing
    • Evaluate the outcomes of hypothesis testing.
    • Relate hypothesis testing to real work experiences
    • Understand hypothesis errors

    Other Information

    There is no additional information to display at this time.

    Legend

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