Custom Writing Service-identify a real-world business situation and use real data to perform a data analysis leading to an actionable recommendation

Custom Writing Service-identify a real-world business situation and use real data to perform a data analysis leading to an actionable recommendation

This is task one where you find and pick the data to use and decide what type of analysis you will use. I need real life data that is legit and from a reliable internet source (examples: inflation rates, mortgage costs in Utah, etc.) these are ideas of what type of data. Then a question around the data needs to be asked and analyzed with a minimum of 30 data points. the class instructions are below. once task 1 is approved there will be a task 2 to write perform the test and analyze the data.

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In this task, you will identify a real-world business situation and use real data to perform a data analysis leading to an actionable recommendation. You are encouraged to select an issue in your workplace or program specialty area (e.g., IT management, HC management, or MBA). Publicly available data is also an option (see Course Tips).

Note: Work performed for a client or an employer is their property and should not be used without written permission. Fictionalize identifiable organizational information (i.e., make up information regarding the identity of the organization, but do not make up the data). Obtain written permission to use any information that would be considered confidential, proprietary, or personal in nature. To obtain an organization’s permission to use proprietary information, complete and submit the attached “Organization Verification Form.”

This business situation and data will be used to complete task 2. Do not work on task 2 until you have successfully passed task 1, indicating that the business situation and data analysis plan have been approved.

Use the “Determining the Appropriate Analytical Technique” presentation in the Attachment section below and/or speak with a course instructor to help you identify the appropriate analysis technique to analyze data for these tasks.

Approved data analysis techniques include the following:

Recommended Analysis Techniques:

regression (linear regression, multiple regression, or logistic regression)

time series or trend analysis

chi-square

t-test (one sample, two independent samples, or paired)

ANOVA

crossover analysis

break-even analysis

Additional Approved Analysis Techniques:

statistical process control

linear programming

decision tree

simulation

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