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Essay Available:
Pages:
2 pages/β‰ˆ550 words
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Check Instructions
Style:
APA
Subject:
Business & Marketing
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
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Topic:

Statistical Analysis: Effectivity of Different Advertisement Platforms

Coursework Instructions:

In this task, you will address the real-world business situation that you identified in task 1. Using relevant data you have gathered, analyze the data and recommend a solution. This recommendation will be included in a report that you will write, summarizing the key details of your analysis.
Note: You must successfully pass task 1 before work on task 2 is started.
Approved data analysis techniques for this task include the following:
Recommended Analysis Techniques:
• regression (linear regression, multiple regression, or logistic regression)
• time series or trend analysis (regression, exponential smoothing, or moving average)
• chi-square
• t-test
• ANOVA
• crossover analysis
• break-even analysis
Additional Approved Analysis Techniques:
• statistical process control
• linear programming
• decision tree
• simulation
Create a report (suggested length of 2–4 written pages or 800 words) by doing the following:
A. Summarize the real-world business situation you identified in task 1.
B. Report the data you collected, relevant to the business situation, by doing the following:
1. Describe the relevant data you collected.
2. Create an appropriate graphical display (e.g., bar chart, scatter plot, line chart, or histogram) of the data you collected.
Note: This display should be a summary or representation of your data, not raw data.
C. Report how you analyzed the data using an analysis technique from the given list by doing the following:
1. Describe an appropriate analysis technique that you used to analyze the data.
2. Include the output and any calculations of the analysis you performed.
Note: The output should include the output from the software you used to perform the analysis. Refer to “Prepare for the Performance Assessment Task 2” in the course of study to see examples of acceptable output.
3. Justify why you chose this analysis technique.
D. Summarize the implications of your data analysis by doing the following:
1. Discuss the results of your data analysis.
Note: Refer “Prepare for the Performance Assessment Task 2” in the course of study to see an example of an acceptable discussion of results.
2. Discuss the limitation(s) of your data analysis.
3. Recommend a course of action based on your results.
Note: Your recommendation should focus on the results of your analytic technique output from part C2.
E. Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized.
F. Demonstrate professional communication in the content and presentation of your submission.
File Restrictions

Coursework Sample Content Preview:

Statistical Analysis – Effectivity of Different Advertisement Platforms in Online Sales
Your Name
Subject and SectionProfessor’s Name
January 30, 2021
Understanding the importance of statistical analysis in real-world applications is important for anyone. It allows them to have a better understanding of how probability works and use it to make strategic decisions in his day-to-day life. In this article, the author has focused on using statistical analysis in a real-world business problem. Using data from the last thirty (30) online sales that he made, he sought to understand whether or not the different mediums of advertisement – eMail, Social Media, and Google Ads – were equally effective in improving conversion rates based on their frequencies of sales. Accordingly, it is the author’s belief (H0) that all of the different mediums were equally effective as a marketing medium based on the last 30 online sales made.
Data Collection and Analysis
In order to generate the data needed to conduct the analysis, the author has taken a record of the sources of the traffic that generated the last 30 sales transaction using Google Analytics. Specifically, the data taken is raw data collected by Google’s software, that shows that conversion rates in relation to the specific source of the online traffic. Accordingly, the following table (Table 1) shows the summary of data.
Table SEQ Table \* ARABIC 1 - Frequency of Sales Transaction per Advertisement Source for the Last 30 Online Transactions
Analysis Technique
In order to determine the relationship of categorical variables in the same population, the author believes that it would be best to use Chi Square Test for this data. Chi Square Tests is ...
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