SPSS Marketing Assignment

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School

Delaware State University *

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Course

300

Subject

Accounting

Date

Feb 20, 2024

Type

docx

Pages

Uploaded by PresidentLapwingMaster957

On June 30, The Mixing Department ending Work-in- Process inventory was 80% complete for materials and 40% complete for conversion costs. The Finishing Deparment's Ending Work-in-Process Inventory was 75% complete for materials and 60% complete for conversion costs. The weighted average method is used. Requierements: 1.Compute the equivalent units of production for direct materials and for conversion costs for the Mixing Department. 2. Compute the equivalent units of production for transferred in costs, direct materials, and conversion costs for the Finishing Department. Prepare a schedule of cost of goods manufactured for Doggie Delights and Requirements: Compute the equivalent units of production for direct materials and for conversion costs for the Mixing Department. Compute the equivalent units of production for transferred in costs, direct materials, and conversion costs for the Finishing Department

Janire Junquera Extra credit assignment 1) Frequency Distribution of the variable "familiar" (Mean, Std. deviation, Skewness, Kurtosis, Range, Minimum, and Maximum as well as a histogram with a normal curve on it. Share the screenshot of the outputs

2) To determine whether a significant systematic association exists between the variable "sex" and "usage" , run a chi-square test. Is the relationship significant? Why or Why not?

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The association between "sex" and "iusage" is deemed statistically significant, with a p-value of less than 0.05. 3) What's the Pearson's Correlation Coefficient between the variables "usage" and "iattitud"? Is the correlation significant? Why or why not? Certainly, a positive and statistically significant correlation exists between "iusage" and "iattitud" at the 0.01 significance level as 0.002 is below the significant level of 0.01. 4) Determine whether the variables (“iusage" and "familiar") relate to "iattitud". Hence, run a linear regression using "usage" and "familiar" as independent variables and "iattitud" as a dependent variable. What's the R-Square? Share the screenshot of

the regression outputs.

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