Real-world business situation and use real data to perform a data analysis

 

 

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).
Recommended Analysis Techniques:
• regression (linear regression, multiple regression, or logistic regression)
• time series or trend analysis
Note: you need to specify the specific type(s) of time-series analysis you plan to use or consider in Task 2 – i.e., regression, exponential smoothing, moving average, seasonality using multiple regression
• 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

SCENARIO
REQUIREMENTS
Use the attached “Task 1 Template” to complete the following prompts:
A. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data.
Note: The data can be from your workplace, from publicly available sources, or primary data that you collect on your own (e.g., a survey or behavioral observations).
2. Summarize one question or decision relevant to the real-world business situation that you will answer by collecting and analyzing a set of data.

3. Explain why the situation or question would benefit from a data analysis.

4. Identify all of the data that you will need to collect that is relevant to the situation or question.
Note: Identify the specific data relevant to part B1, such as time period, sample size, etc.
Note: A sample size of 30 is the suggested minimum size.

5. Describe the data gathering method will use to collect data.
Note: The data gathering method can include data sources (e.g., databases, surveys, behavioral observations, online sources, etc.)

6. Identify an appropriate data analysis technique from the approved list above to analyze this data.
a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected.
B. Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized.
C. Demonstrate professional communication in the content and presentation of your submission.

Sample Solution

Vehicle population is projected to grow close to 1300 million by the year 2030. Due to incomplete combustion in the engine, there are a number of incomplete combustion products CO, HC, NOx, particulate matters etc. The pollutants have undesirable effect on air quality, environment and human health that tips in stringent norms of pollutant emission. As the technology keep on evolving and emerging, it carries along undesirable effects apart from its broad application and use. One of the main contributors is said to be the emission of harmful gases produced by vehicle exhaust lines. The number of vehicles miles travels per year continues to increase as a result of higher demand and needs. Consequently, an increase in the number led to the increase of the content of pollutants in air. Most vehicular transportation relies on combustion of gasoline, diesel and jet fuels with large amount of emission of carbon monoxide (CO), unburned hydrocarbons (HC), nitrogen oxides (NOx) and particulates matter (PM) are especially concern. HC and CO occur because the combustion efficiency is less than 100%. The NOx is formed during the very high temperatures (>1500 0C) of the combustion process resulting in thermal fixation of the nitrogen in the air which forms NOx. Typical exhaust gas composition at the normal engine operating conditions are: carbon monoxide (CO, 0.5 vol.%), unburned hydrocarbons (HC, 350 vppm),nitrogen oxides (NOx, 900 vppm) hydrogen (H2, 0.17 vol.%), water (H2O, 10 vol.%), carbon dioxide (CO2, 10 vol.%), oxygen (O2, 0.5 vol.%). Carbon monoxide is a noted poison that has an affinity for hemoglobin in the blood 210 times greater than the oxygen affinity prolonged exposure to levels above 9 ppm can lead to reduce mental acuity for some individuals. HC and NOx lead to photochemical smog in presences of sunlight give secondary pollutant ozone, nitro dioxide & peroxyacyl nitrate which cause also global environmental problems.

A catalytic converter is placed inside the tailpipe through which deadly exhaust gases containing HC, CO, NOx are emitted. The function of the catalytic convertor is to convert these gases into CO2, H2O, N2 and O2 and currently, it is necessary for all automobiles pursuing on roads. As primary measures many different possibilities and technical methods of reducing exhaust gas emission are used e.g. combustion of lean air fuel mixture, multistage injection fuel, exhaust gas recirculation, fuel gas after burning, loading of additional water into cylinder volume.

2. HISTORY

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