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MBA FPX 5008 Assessment 4

Assessment Overview

MBA FPX 5008 Assessment 4 asks you to interpret and present data analysis results( Walmart stock performance Nov 2019 – Nov 2020). Focus on clear visual summaries( trend, outliers, distribution, volume), terse conclusions for operation and investors, and an substantiation- grounded narrative that links illustrations to business sapience. 

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  • Step-by-step Instructions to write FPX Assessments
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  • (FAQs) related to Assessment.
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Sample Assessment Paper

Business Context 

Walmart began its journey back in 1942 by establishing its first store. It floated on the market in 1970 with the initial share available for $16.50. Walmart reached the milestone of sales worth $100 billion in the year 1997. Wal-Mart was continuously searching for an opportunity to become innovative, so it introduced Walmart.com in 2000 in order to get a stronger presence on the web. In the fiscal year 2020, the company achieved a record-breaking revenue of $524 billion. With over 2.2 million associates across the globe, Walmart continues to be a strong player in the retail sector.

Highest Daily Stock Prices (Nov 2019 – Nov 2020)

Walmart’s stock performance revealed a strong positive trend during this period, with minimal outliers influencing its overall performance. The stock prices reflected good performance and consistency, with steady returns for investors.

Lowest Daily Stock Prices (Nov 2019 – Nov 2020)

There were two identifiable sharp stock price drops at days 70 and 160. Despite these drops, Walmart’s stock continued to maintain an upward trend. The stock had few outliers, which sustained a general growth pattern and expected behavior over time.

Adjusted Daily Closing Stock Price

Walmart’s adjusted daily closing stock prices’ distribution was right-skewed, with the most frequent values between $111 and $119.

Trading Volume 

The volume of trading also had a right-skewed distribution. Most of the daily trades were between 5.2 and 8.2 million shares. The median trading volume was 6,944,400, which was lower than the mean, indicating that the outliers at the upper end of the distribution drew the data in.

 

Conclusions – Management

Walmart store fronts continue to be valuable assets to the company. But the company also has a large online presence, which makes it one of the leading players in the ecommerce market.

 

Conclusions – Investors 

Walmart has proven to be a safe, stable, and predictable investment that has shown long-term growth.

 

Stock Performance Analysis Key Findings     
Highest Daily Stock Prices  Strong positive trend with minimal outliers 
Lowest Daily Stock Prices Sharp declines around days 70 and 160; stock trends upward overall  
Adjusted Daily Closing Stock Price  Right skewed; most frequent values between $111 and $119  
Trading Volume Right skewed; common volume in the range of 5.2–8.2 million per day  
Management Conclusions  Store fronts are a major asset; strong online presence; ecommerce growth  
Investor Conclusions  Reliable, consistent, predictable, continued growth    

 

MBA FPX 5008 Assessment 4 Presenting Data Analysis Results Effectively 

Walmart. (2020). Our History. Retrieved from Walmart Corporate: https://corporate.walmart.com/our-story/our-history

Yahoo Finance. (2020). Walmart Inc. (WMT). Retrieved from Yahoo: https://finance.yahoo.com/quote/WMT?p=WMT &.tsrc=fin-srch

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References

  • Evergreen, S. (2020). Scatterplot. Retrieved from https://www.betterevaluation.org/en/evaluation-options/scatterplot
  • Kallet, M., & Patterson, D. (2014). Think Smarter: Critical thinking to improve problem-solving and decision-making skills. Hoboken: Wiley & Sons.
  • Morgan, B. (2019, August 21). 7 Ways Amazon and Walmart Compete. Retrieved from
  • Forbes: https://www.forbes.com/sites/blakemorgan/2019/08/21/amazon-versus-walmart-goliath-versus-goliath/#24562b524674
  • StatTrek. (2020). Bar Charts and Histograms. Retrieved from https://stattrek.com/statistics/charts/histogram.aspx
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Step-by-Step Guide

  1. Check the data — check for missing values, correct dates, and outliers. 
  2. produce illustrations — time series for daily high/ low/ acclimated near, histogram for acclimated near, histogram or viscosity plot for trading volume, and highlight outlier days( e.g., day 70, 160). 
  3. cipher summary stats mean, standard, IQR, skewness for price and volume; identify exact dates for sharp drops. 
  4. Annotate maps — marker trendlines, annotate the two sharp drops, and add a shadowed band for the$ 111 –$ 119 modal range. 
  5. Write terse findings — 2 – 4 pellet points for each analysis( loftiest/ smallest, distribution, volume). 
  6. restate to recommendations — suddenly practicable takeaways for operation( ecommerce vs. store strategy) and investors( threat profile, long- term growth). 
  7. Note limitations — state period covered, request events not modeled, and that reason is n’t inferred from correlation. 
  8. Prepare final deliverables — one- runner administrative summary 2 – 3 slides with illustrations and a one- paragraph conclusion.
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Frequently Asked Questions (FAQs)

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Integrity Note

Use this example for learning and structure only. Do not submit as your own work.
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