Only Need One Of These Assignments Options 1 Business Profit

Only Need One Of These Assignmentsoption 1business Profitsth

Use the numerical methods of descriptive statistics to analyze data from 200 client businesses, focusing on four variables: 2015 profit, 2016 profit, two-year change in daily average customer visits, and two-year average number of employees. Your report should include descriptive statistics (mean, median, quartiles Q1 and Q3, minimum, maximum, range, standard deviation, and coefficient of variation) for each variable, along with interpretations of what these statistics indicate about the client businesses.

Calculate the percent change in profit from 2015 to 2016 for each business and identify outliers using z-scores. Determine the outliers specifically in the percent change in profit. Additionally, compute the sample correlation coefficients to evaluate the relationships between percent change in profit and the other two variables (change in customer visits and number of employees). Explain what these correlations reveal about potential associations among the variables.

Your report should include graphical representations such as tables, charts, or graphs to support your analysis. It must be written in third person and span four to five pages, including the title page and references. Incorporate at least one credible outside source, properly cited in APA format, and include all relevant data, calculations, and visualizations within the report. The introduction should provide an overview of the importance of analyzing business performance metrics, define key terminology, and summarize the topic or problem. The body should detail your analytical approach, demonstrate all steps taken to answer the questions, and interpret findings. The conclusion should summarize your insights and reflect on the broader implications of your analysis without introducing new information.

Ensure your document adheres to CSU-Global's writing and APA standards, including proper formatting, citations, and a reference page. Submit both your report and the Excel file containing data and calculations.

Paper For Above instruction

Analyzing business performance through descriptive statistics and correlation provides valuable insights into the factors influencing success among client businesses. This report examines data collected from 200 businesses, focusing on four key variables: profits for 2015 and 2016, the two-year change in daily customer visits, and the average number of employees. By applying statistical methods, the goal is to understand the distribution, central tendency, variability, and relationships among these variables, which can inform strategic decisions and identify areas for improvement.

First, descriptive statistics are calculated for each variable to describe the overall distribution and variability within the data set. The mean offers an average value, giving a sense of the typical business level. The median indicates the middle point and helps identify skewness in the data. Quartiles Q1 and Q3 divide the data into four equal parts, revealing the spread and potential skewness, while the minimum and maximum provide the range's bounds. The standard deviation measures variability concerning the mean, and the coefficient of variation standardizes this variability relative to the mean, facilitating comparisons across different measures.

By examining these statistics, we find that the average profit in 2015 and 2016 indicates the general profitability trend among businesses, while the ranges and variances reveal the diversity within the sample. For example, a high standard deviation suggests significant variability in profits or employee counts, indicating some businesses outperform others considerably. Analyzing quartiles helps identify whether most businesses cluster around certain values or if outliers exist, which could skew the averages.

Next, calculating the percent change in profit from 2015 to 2016 provides a measure of business growth or decline. Using the formula:

Percent Change = [(Profit in 2016 - Profit in 2015) / Profit in 2015] * 100

each firm's change is computed. The z-score for percent change identifies outliers—businesses with a percent change significantly higher or lower than the mean, suggesting exceptional growth or decline. Outlier detection is essential as these data points can disproportionately influence the analysis and provide clues about factors leading to extraordinary performance.

Furthermore, correlation coefficients are calculated to determine the strength and direction of relationships between percent change in profit and the other variables. A positive correlation between percent change and the two-year change in customer visits may indicate that increased customer traffic correlates with profit growth. Conversely, a correlation with the number of employees might reveal whether staffing levels impact profitability or growth. Understanding these relationships helps managers strategize resource allocation, marketing, and operational adjustments.

Graphical representations such as scatterplots visualize these relationships, making it easier to interpret patterns or outliers. For example, a scatterplot of percent change versus change in customer visits can elucidate whether higher traffic generally coincides with profit increases. Outliers in these plots highlight businesses deviating significantly from typical patterns, warranting further investigation.

In conclusion, comprehensive statistical analysis of the dataset uncovers valuable insights into business operations, performance variability, and relationships among key variables. These insights assist decision-makers in identifying effective strategies, understanding risk factors, and benchmarking performance. The data-driven approach underscores the significance of statistical literacy in managing modern business environments, emphasizing that empirical analysis supports strategic growth and competitive advantage.

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