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Data Master Is a Computer Software Consulting Company

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Data Master is a computer software consulting company.Its three major functional areas are computer programming,information systems consulting,and software training.Cynthia Moore,a pricing analyst in the Accounting Department,has been asked to develop total costs for the functional areas.These costs will be used as a guide in pricing a new contract.In computing these costs,Moore is considering three different methods of allocating overhead costs-the direct method,the step method,and the reciprocal method.Moore assembled the following data on overhead from its two service departments,the Information Systems Department and the Facilities Department.Data Master is a computer software consulting company.Its three major functional areas are computer programming,information systems consulting,and software training.Cynthia Moore,a pricing analyst in the Accounting Department,has been asked to develop total costs for the functional areas.These costs will be used as a guide in pricing a new contract.In computing these costs,Moore is considering three different methods of allocating overhead costs-the direct method,the step method,and the reciprocal method.Moore assembled the following data on overhead from its two service departments,the Information Systems Department and the Facilities Department.  Information systems is allocated on the basis of hours of computer usage;facilities are allocated on the basis of floor space.Required: Allocate the service department costs to the user departments using the reciprocal method.Round to the nearest dollar.
Information systems is allocated on the basis of hours of computer usage;facilities are allocated on the basis of floor space.Required:
Allocate the service department costs to the user departments using the reciprocal method.Round to the nearest dollar.

Comprehend the utilization of different distributions (normal, t, chi-square) in inferential statistics.
Estimate population variance and standard deviation using confidence intervals from sample data.
Apply hypothesis testing to real-world scenarios, including claims about population variance and means.
Identify the appropriate sampling distribution for making inferences about population parameters.

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