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BU6015 - Business Analytics

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Based on the box plot created in Lab 3.2 Excel, Using the Excel Analysis ToolPak to Calculate Descriptive Statistics to Gain Insight About the Distribution of a Sales Data Set, what is the median for in-person sales?

The figure shows a box plot for in-person sales. The vertical axis ranges from 0 to 120 in increments of 20 units. The lower whisker has a value of 2.87. The first quartile has a value of 12.52. The median or the second quartile has a value of 26.97. Inside the box the mean value is X33.64156863. The third quartile has a value of 52.52. The upper whisker has a value of 98.42.

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When creating a dashboard you should________?
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What is the minimum Sales Price in the chart shown below?

The figure shows a box plot. The vertical axis shows the sales price ranging from $0 to $3,000 in increments of $500. The lower whisker has a value of $19.00. The first quartile has a value of $59.00. The median or the second quartile has a value of $149.00. Inside the box the mean value is X$624.40. The third quartile has a value of $949.00. The upper whisker has a value of $1,799.00. The outlier above the upper whisker has a value of $2,299.00. The outlier and maximum value is $2,599.00.

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When there are many categories, a bar chart is a more effective visualization than a pie chart.
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What term encapsulates analytics that analysts use to summarize and explain performance?

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What type of analytics would predict if a company is expected to go bankrupt?

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There are four primary methods to summarize numerical data; three are counting and grouping, proportion, and summing. What is the fourth method?

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Based on this visualization in Lab 1.2 Tableau, Assessing Customer Profitability, which of the following customers are the most profitable?

The horizontal axis represents gross margin ranging from 0 to 360 in increments of 20 and the vertical axis shows the customer numbers. The graph decreases in gross margin from top to bottom. The data are shown as follows: 2047, 360. 2088, 220. 2072, 140. 2081, 138. 2100, 136. 2060, 119. 2064, 115. 2087, 114. 2046, 114. 2086, 107. 2024, 105. 2063, 96. 2031, 81. 2018, 77. 2051, 70. 2032, 66. 2025, 65. 2079, 64. 2099, 58. 2044, 56. 2041, 47. 2067, 45. 2048, 41. 2074, 38. 2068, 37. 2001, 35. 2066, 34. 2091, 30. 2006, 30. 2077, 25. 2055, 25. 2036, 25. 2084, 23. 2073, 22. 2038, 19. 2035, 10. 2098, 9. 2023, 5. All data are approximate.

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If the variance equals 25, what is the standard deviation?

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Based on these regression results from Lab 5.1 Excel, Evaluating the Relationship Between Sales and R&D Expenditures, how much of the variance in sales revenue is explained by R&D expenditures?

Under regression statistics, the following values are shown: Multiple R, 0.686491894. R square, 0.471271121. Adjusted R square, 0.466283113. Standard error, 7400410.253. Observations, 108. In the ANOVA table at the center, values are shown as follows: Regression: d f, 1. S S, 5.17434E +15. M S, 5.17434E +15. F, 94.48082. Significance F, 2.39098 E minus 16. Residual: d f, 106. S S, 5.0852E + 15. M S, 5.47661E +13. Total: d f, 107. S S, 1.09795E + 16. In the table at the bottom, the entries are shown as follows: Intercept: Coefficients, 7387039.008. Standard error, 2527280.247. t Stat, 2.922920406. P value, 0.00424. Lower 95 percent, 2376460.11. R and D expenditures: Coefficients, 9.281064367. Standard error, 0.954829777. t Stat, 9.720124558. P value, 2.39E minus 16. Lower 95 percent, 7.388021465.

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