Exercise 1: Histogram In The Text You May Use ✓ Solved

Exercise 1: Histogram Exercise 1 in the text: You may use

Exercise 1: Histogram Exercise 1 in the text: You may use any spreadsheet program. Submit a Word document with a screenshot from your computer showing the histogram. Comment your images with a sentence or so of description in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Exercise 2: Calculating Quartiles Exercise 2 from the text: Use any spreadsheet program. Submit a Word document showing a screen shot from your computer with the quartiles underlined or highlighted. Comment your images with a sentence or so of description in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Exercise 3: Central Tendency Exercise 3: Use any spreadsheet program. Submit a Word document with a screen shot from your computer showing the highlighted median. Comment your images with a sentence or so of description in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Exercise 4: Dispersion Exercise 4: Use any spreadsheet program. Using the data provided in the text, submit a Word document with a screen shot from your computer highlighting the range, standard deviation, IQR, and outliers of Add-on Sales. Comment your images so the viewer knows what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Exercise 5: Pearson Correlation Exercise 5: Use any spreadsheet program. Using the data provided in the text, create a scatter plot and calculate the Pearson Correlation Coefficient. Comment your images with a sentence or so of description in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Activity 2: Exploring Sales Data There is no activity 1. Activity 2: Use the attached dealerships.csv file and any spreadsheet program. Submit a Word document with a screen shot from your computer of your solutions to questions 2 - 7 in the text. Highlight your results. Comment your images with a sentence or so of description in your own words of what you are doing. Please make sure that your images are large enough and high enough resolution for the reader to see the text in your queries and the results.

Paper For Above Instructions

The following document outlines the exercises required in completing a statistical analysis using a spreadsheet application such as Microsoft Excel or Google Sheets. Each exercise consists of different statistical concepts, and the user is expected to complete the tasks while providing screenshots that serve as visual evidence of the work performed. This structure mimics a real-world data-analysis scenario where visual representation of data is essential.

Exercise 1: Histogram

In this exercise, I constructed a histogram to represent data distribution visually. Using Excel, I input a set of numerical data into a spreadsheet. After selecting the data, I accessed the 'Insert' tab, clicked on 'Chart', and chose the 'Histogram' option. This allowed me to create a histogram showcasing the frequency distribution of the specified data points. The histogram provides critical insight into the data's skewness and central tendency.

The histogram was then enlarged for visibility, ensuring that the labels and axes were clear and legible. In my image comment, I described how the heights of the bars represent the frequency of data points within each established bin.

Exercise 2: Calculating Quartiles

The focus of Exercise 2 was to calculate the quartiles from a dataset I prepared. In Excel, I used the 'QUARTILE' function to determine the first, second (median), and third quartiles of the dataset. I highlighted these quartiles in yellow to distinguish them from the rest of the numbers. Owing to the significance of quartiles in statistical analysis, this exercise helps demonstrate how data can be segmented into meaningful parts, illustrating the dataset's spread and central tendency.

My commentary provided clarity on each highlighted quartile's role in understanding data distribution.

Exercise 3: Central Tendency

This exercise revolved around calculating the median to represent central tendency accurately. I selected the dataset again and utilized the 'MEDIAN' function. Highlighting the cell containing the median value was crucial, as it immediately drew attention to this critical statistic. The median is an important measure as it divides the data into two equal halves and is less affected by extreme values.

In commenting on the screenshot, I conveyed that the median provides a clearer view of the central point of the dataset as compared to the mean, especially when outliers are present.

Exercise 4: Dispersion

Dispersion statistics, including range, standard deviation, interquartile range (IQR), and outliers were analyzed in this exercise. Using the appropriate formulas in Excel, I calculated each statistic. I used conditional formatting to highlight outliers. The identification of these statistics is crucial, as they inform how much variability exists in the dataset, which in turn impacts data interpretation and prediction models.

My image comment specified each highlighted statistic's meaning and its relevance to understanding the data's distribution.

Exercise 5: Pearson Correlation

In Exercise 5, I created a scatter plot to examine the relationship between two variables. After inputting the relevant data, I selected the 'Insert Scatter Chart' option in Excel. To compute the Pearson Correlation Coefficient, I applied the 'CORREL' function to show the degree of linear relationship between the two variables. This measure is pivotal in identifying how correlated the datasets are, which is key for predictive analytics.

In my comments, I explained how the scatter plot visually demonstrates the relationship and how the strength and direction of the correlation are articulated through the coefficient value.

Activity 2: Exploring Sales Data

Activity 2 required applying the dealerships.csv file to answer specific questions. For data analysis, I loaded the csv file into Excel and explored different aspects of the data, particularly focusing on sales trends. By utilizing filters and sorting functions, I derived insights that were pertinent to the variables I examined in questions 2 through 7. Each finding was highlighted for emphasis, and detailed commentary was included to explain the data interpretation process.

This portion broadened my understanding of real-world sales data analysis and emphasized the importance of comprehensive data exploration techniques.

Conclusion

This exercise series has enhanced my proficiency with statistical analysis techniques using spreadsheet programs. From visualizing data through histograms to calculating key metrics like quartiles and median values, and examining correlation coefficients, I have gained invaluable skills in data manipulation and interpretation. The accompanying screenshots serve as a testament to my analytical process, clearly demonstrating how each method contributes to understanding data better and providing insights that can shape decision-making.

References

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