Examine additional analytical methods in order to make business decisions

Examine additional analytical methods in order to make business decisions

For Knowledge Check

submit answers: question by question

We’ll be scored each time I click Score this, rather than at the end of the assignment.

I will be able to see the results for each question immediately.

I have 13 Questions left between both sections (Apply: Case Study Assignment and Knowledge Check Q & A)

studying the Chi-Square, Correlation and Regression as well as Time Series Analysis and Forecasting

Retail Store Part 2: Complete Part 1 of your Case Study assignment first. Continue with this section when you’re ready to start part 2.

Let’s set up a time to knockout these questions. I won’t get the next question until we answer one by one

As soon as you assist me with the first question I’ll attach or type in the next questions. That is how we have to go through each one

in order to answer the last 5 questions (Part 2), the following has to be done:

Part 1: to be completed in Excel®

You are the manager of a retail store. You want to investigate how metrics can improve the way you manage your business.

Using the Week 5 Data Set, create and calculate the following in Excel®:

  1. Conduct a goodness of fit analysis which assesses orders of a specific item and items you received by size, and do the following:
    • Conduct a hypothesis test with the objective of determining if there is a difference between what you ordered and what you received at the .05 level of significance.
    • Identify the null and alternative hypotheses.
  2. Generate a scatter plot, the correlation coefficient, and the linear equation evaluating whether a relationship exists between the number of times a customer visited the store in the past 6 months and the total amount of money the customer spent, and do the following:
    • Set up a hypothesis test to evaluate the strength of the relationship between the two variables.
    • Use a level of significance of .05.
  3. Use the regression line formula to forecast how much a customer might spend on merchandise if that customer visited the store 13 times in a 6-month period.
  4. Use the average monthly sales of 2014 ($1,310) as your base to do the following:
    • Calculate indices for each month for the next two years.
    • Graph a time series plot.

Part 2: to be completed in Connect® Q & A

Reference your completed Excel® spreadsheet from Part 1.

Complete the “Case Study” Q & A Assignment