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Phase 3 ctu online mgmt600 1301 a 05 applied managerial decision making

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Phase 3 CTU Online MGMT600-1301A-05: Applied Managerial Decision-Making

Phase 3 - Task 1
Task Type: Discussion Board
Deliverable Length: 400-450 words

Primary Discussion Response is due by Wednesday
You're trying to explain null and alternative hypotheses to one of the senior managers at Company W and he's not "getting it" when you use snack food sales. Help him by thinking about a business problem in another organization or department. Formulate a null hypothesis and the corresponding alternative hypothesis that could be tested.
Also, please state the business implications of Type I and Type II errors for those examples.



Phase 3 - Task 2
Task Type: Individual Project
Deliverable Length: 700-1000 words

Company W is testing a sales software package. Their sales force of 500 people is divided into four regions: Northeast, Southeast, Central and West. Each sales person is expected to sell the same amount of products. During the last 3 months, only half of the sales representatives in each region were given the software program to help them manage their contacts.
The VP of Sales at WidgeCorp, who is comfortable with statistics, wants to know the possible null and alternative hypotheses for a non-parametric test on this data using the chi-square distribution. A non-parametric test is used on data that is qualitative or categorical, such as gender, age group, region, and color. It is used when it doesn’t make sense to look at the mean of such variables. (You can refer to the article for this week for further information located at the end of the Phase Resources.)

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Phase 3 ctu online mgmt600 1301 a 05 applied managerial decision making

  1. 1. GET THIS PAPER AT http://myessaybank.com/view_paper/id/464 or Email oasisfreelance@gmailcom WidgeCorp became the market leader in snack foods after acquiring a rival company, Company W. Their management style and business decision-making differed. Employees at WidgeCorp collected relevant data and through statistical analysis used this information to draw conclusions and make appropriate recommendations. Company W tended to rely on the experience and judgment of its managers. For the time being, both companies are being managed separately, but within the next twelve months they will merge all management, processes, and accounting. You work for Company W and are a little nervous about this new way of working, but realize that you need to be able to present issues and recommendations with statistical verification to the WidgeCorp executives. You will also introduce and employ statistical analysis to the senior management of Company W's various departments such as Marketing, Sales, and Production. Part of your job will be to educate Company W as well. Use Common Statistical Tests to Draw Conclusions from Data Phase 3 - Task 1 Task Type: Discussion Board Deliverable Length: 400-450 words Primary Discussion Response is due by Wednesday You're trying to explain null and alternative hypotheses to one of the senior managers at Company W and he's not "getting it" when you use snack food sales. Help him by thinking about a business problem in another organization or department. Formulate a null hypothesis and the corresponding alternative hypothesis that could be tested. Also, please state the business implications of Type I and Type II errors for those examples.
  2. 2. Phase 3 - Task 2 Task Type: Individual Project Deliverable Length: 700-1000 words Company W is testing a sales software package. Their sales force of 500 people is divided into four regions: Northeast, Southeast, Central and West. Each sales person is expected to sell the same amount of products. During the last 3 months, only half of the sales representatives in each region were given the software program to help them manage their contacts. The VP of Sales at WidgeCorp, who is comfortable with statistics, wants to know the possible null and alternative hypotheses for a non-parametric test on this data using the chisquare distribution. A non-parametric test is used on data that is qualitative or categorical, such as gender, age group, region, and color. It is used when it doesn’t make sense to look at the mean of such variables. (You can refer to the article for this week for further information located at the end of the Phase Resources.)

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