Histogram You May Use Any Spreadsheet Program Submit A Word

Histogramyou May Use Any Spreadsheet Program Submit A Word Document W

Histogram 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. Calculating Quartiles 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. Central Tendency 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. Dispersion 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. Pearson Correlation 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. 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 instruction

The assignment encompasses several key statistical and data visualization tasks aimed at enhancing data analysis skills using spreadsheet programs. These tasks include creating histograms, calculating quartiles, identifying measures of central tendency, assessing dispersion, analyzing correlation, and interpreting dealership sales data. Through these activities, students develop proficiency in data visualization, descriptive statistics, and correlation analysis, which are fundamental in interpreting and presenting data effectively.

Creating Histograms

Histograms are invaluable for visualizing the distribution of data sets. Using any spreadsheet software—such as Microsoft Excel, Google Sheets, or LibreOffice Calc—students are expected to generate a histogram representing a data set provided or selected. To do this, students should first organize their data into appropriate bins or intervals, then utilize the chart functions to create the histogram. In the Word document, students should embed a clear screenshot of their histogram, ensuring clarity and resolution are sufficient for readers to discern the data distribution. Accompanying this, a brief textual comment should explain the purpose of the histogram and highlight key features visible in the chart, such as skewness, modality, or outliers.

Calculating Quartiles

Quartiles divide a data set into four equal parts, providing insights into its dispersion and skewness. Using spreadsheet functions such as QUARTILE.EXC or QUARTILE.INC (depending on the software), students should compute the first, second (median), and third quartiles. The Word submission must include a screenshot displaying the spreadsheet with these quartiles highlighted or underlined for clarity. A descriptive comment should be included to explain the process undertaken and interpret the quartile values, such as identifying potential outliers or data symmetry.

Assessing Central Tendency

The measure of central tendency, specifically the median, offers an understanding of the middle value within a data set. Students should identify and highlight the median value within their data using spreadsheet tools. The screenshot should clearly show this highlighted median, accompanied by a brief explanation of why the median is an appropriate measure, especially in skewed data distributions, along with observations about the data’s central point.

Evaluating Dispersion

Dispersion describes how spread out the data points are within a data set. Key metrics include the range, standard deviation, interquartile range (IQR), and identification of outliers. Using the appropriate spreadsheet functions—such as MAX, MIN, STDEV.P or STDEV.S, and IQR calculations—students should prepare a screenshot highlighting these elements, especially focusing on outliers. A commentary should elucidate how these measures reflect the data's variability and what outliers suggest about the dataset or potential anomalies.

Analyzing Pearson Correlation

Assessing the relationship between two variables involves creating a scatter plot and computing the Pearson correlation coefficient. Using the provided data, students should generate a scatter plot to visualize any relationship, then calculate the correlation coefficient using the spreadsheet functions CORREL. The accompanying comments should articulate the strength and direction of the correlation, providing context on what these findings imply about the variables’ relationship and potential causality considerations.

Exploring Sales Data

Finally, using the supplied dealerships.csv file, students are tasked with answering questions 2–7, which may involve various analyses such as sales trends, comparisons, or other statistical insights. Students should present their solutions in the form of annotated screenshots, highlighting relevant results. These visualizations help in understanding sales performance or dealership behaviors, with comments explaining each step and interpretation of the findings.

Conclusion

Collectively, these exercises aim to bolster understanding of data analysis using spreadsheet software, emphasizing visualization, descriptive statistics, and correlation. Mastery of these skills enables students to interpret data comprehensively, communicate findings effectively, and develop analytical insight essential for academic and professional success.

References

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  • Laerd Statistics. (2020). Descriptive statistics in Excel: Calculating mean, median, mode, and standard deviation. Laerd.com.
  • Mehrens, W. A., & Lehmann, R. J. (2014). Measurement and Assessment in Education. Holt, Rinehart and Winston.
  • Stuart, A., & Ord, J. K. (2014). Kendall’s Advanced Theory of Statistics. Wiley.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics. Pearson.
  • Wilkinson, L., & Task Force on Statistical Inference. (2014). The New Statistics: Estimation, Open Science, and Beyond. Routledge.
  • Zou, G. (2014). Outlier detection in statistical data analysis. Journal of Statistical Computation and Simulation, 84(2), 317–330.

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