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BU6015 - Business Analytics

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How should a correlation coefficient equal to zero be interpreted?
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Based on the results of the hypothesis test conducted in Lab 3.3 Excel, Performing a t-test for Difference in Means to Determine If the Differences Between In-Person and Online Sales Are Statistically Significant, what is the correct decision? Assume that alpha is set at 0.10 and a one-tailed hypothesis test is appropriate.

The table titled t-test: two-sample assuming unequal variances contains 3 columns and 11 rows. The headings of columns 2 and 3 are as follows: online; in-person. The row entries are as follows: row 2 - mean; 40.5534507; 33.64156863. Row 3 - variance; 944.9388908; 610.8137255. Row 4 - observations; 142; 51. Row 5 - hypothesized mean difference; 0; blank. Row 6 - d f; 109; blank. Row 7 - t stat; 1.601310134; blank. Row 8 - P(T=t) one-tail; 0.05610128; blank. Row 9 - t critical one-tail; 1.658953458; blank. Row 10 - P(T=t) two-tail; 0.11220256; blank. Row 11 - t critical two-tail; 1.98196749; blank.

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If there are 6 transactions on 11/1, 3 transactions on 11/2 and 10 transactions on 11/3, what is the proportion of the 11/1 transactions to the total transactions that occur during the first three days of November?

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Based on the final spreadsheet in Lab 1.1 Excel, Assessing Profitability of a Mowing Business, what is the reason for the difference between Scenario 1 and Scenario 2?

The items are listed in the first column and the values for scenario 1 and scenario 2 are listed in columns 3 and 4. Monthly values are listed in column 2 from row 10. The row entries are as follows: Row 1: Base Scenario, scenario 1 per lawn, and scenario 2 per lawn. Row 4: Assumption: Total Lawns Serviced Each Month, 200, and 200. Row 6: Revenue, 50 dollars, and 50 dollars. Costs are listed from rows 10 through 19. Monthly values are shown in the second column. Row 10: Truck, 300, 1.50, and 1.50. Row 11: Mowers, 300, 1.50, and 1.50. Row 12: Other equipment, 100, 0.50, and 0.50. Row 13: Labor (Average 13 dollars per yard or 25 dollars per yard), blank, 13.00, and 25.00. Row 14: Maintenance, 100, 0.50, and 0.50. Row 15: Insurance, 300, 1.50, and 1.50. Row 16: Fuel, blank, 3.00, and 3.00. Row 17: Supplies, blank, 1.50, and 1.50. Row 18: Advertising, 50, 0.25, and 0.25. Row 19: Cost per lawn, 23.25, and 35.25. Row 21: Margin per lawn, 26.75, and 14.75. Row 23: Total monthly margin, 5350.00, and 2950.00.

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While a ________ reorganizes and summarizes certain data using cross-tabulations without changing the underlying spreadsheet (or data), a ________ is a graphical depiction of those cross-tabulations.

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Charts and diagrams are different types of graphs.
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Based on this scenario analysis in Lab 5.8 Excel: Applying Scenario Analysis: Trade War, what is the probability that domestic demand decreases income by 5% and there is a moderate trade war?

The table has 5 columns. Columns 3 to 5 are titled no trade war, moderate trade war and severe trade war. The values for moderate trade war across the 4 scenarios are as follow: Table 1: Income Scenarios: negative 10%; Domestic Demand Increases Income by 5%: 1,890,000; Domestic Demand Doesn't change: 1,800,000; Domestic Demand Decreases Income by 5%: 1,710,000. Table 2: Change in income based on scenario above. Income Scenarios: negative 10%; Domestic Demand Increases Income by 5%: (110,000); Domestic Demand Doesn't change: (200,000); Domestic Demand Decreases Income by 5%: (290,000). Table 3: probability of the scenario occurring Income Scenarios: negative 10%; Domestic Demand Increases Income by 5%: 0.20; Domestic Demand Doesn't change:0.15; Domestic Demand Decreases Income by 5%: 0.05. Sum: 0.40. Table 2: expected impact of changes in income due to trade war Income Scenarios: negative 10%; Domestic Demand Increases Income by 5%: (22,000); Domestic Demand Doesn't change: (30,000); Domestic Demand Decreases Income by 5%: (14,500); Sum of expected change in income: (66,500).

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Which data type would Transaction_ID be considered to be?

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What are the X-axis (Days) in the chart shown below?

The bar graph shows the process time. The graph plots days versus number of orders. The y axis ranges from 0 to 9,000 in increments of 1,000 units. The bar marked 2, 7 has 7,600 number of orders. The bar marked 7, 12 has 8,300 number of orders. The bar marked 12, 17 has 2,300 number of orders. The bar marked 17, 22 has 400 number of orders. The bar marked 22, 27 has 900 number of orders. The bar marked 27, 32 has 400 number of orders.

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If the data analyst hypothesizes that grocery sales are higher on Sunday than on other days, the null hypothesis would likely state that:

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