The height (in inches) of a random sample of players in NCAA Division 1 basketball teams is shown to the left. x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78 9 Sum of squared deviations: ∑(x − x̅)² = _______. a 555.83 b 573.02 c 590.74 d 609.01
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The height (in inches) of a random sample of players in NCAA Division 1 basketball teams is shown to the left.
x
| 75 |
| 80 |
| 75 |
| 87 |
| 77 |
| 77 |
| 67 |
| 83 |
| 77 |
| 80 |
| 73 |
| 82 |
| 73 |
| 71 |
| 80 |
| 76 |
| 72 |
| 78 |
| 68 |
| 74 |
| 74 |
| 72 |
| 76 |
| 86 |
| 77 |
| 77 |
| 78 |
| 9 | Sum of squared deviations: ∑(x − x̅)² = _______. | ||||
| a | 555.83 | ||||
| b | 573.02 | ||||
| c | 590.74 | ||||
| d | 609.01 |
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- The height (in inches) of a random sample of 28 players in NCAA Division 1 basketball teams is shown to the left. x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78 5 Sum of squared x minus n times squared mean: ∑x² − nx̅² =_____ a 590.74 b 582.01 c 573.41 d 564.94The height (in inches) of a random sample of 28 players in NCAA Division 1 basketball teams is shown to the left. x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78 8 Sum of deviations: ∑(x − x̅) = _______ a -0.5 b 0 c 0.5 d 1The height (in inches) of a random sample of 28 players in NCAA Division 1 basketball teams is shown to the left. x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78 1 Sum of x: ∑x = _______ a 2086 b 2065 c 2045 d 2025
- A random sample of data for 7 days of operation produced the following (price, quantity) data values:Price per Gallon of Paint, X Quantity Sold, Y 10 100 8 120 5 200 4 200 10 90 7 110 6 150a. Prepare a scatter plot of the data.b. Compute and interpret b1.c. Compute and interpret b0.d. How many gallons of paint would you expect to sell if the price is $7 per gallon?refer to image answer B,C, and DHow does the speed of a runner vary over the course of a marathon (a distance of 42.195 km)? Consider determining both the time to run the first 5 km and the time to run between the 35-km and 40-km points, and then subtracting the former time from the latter time. A positive value of this difference corresponds to a runner slowing down toward the end of the race. The accompanying histogram is based on times of runners who participated in several different Japanese marathons (“Factors AffectingRunners' Marathon Performance,” Chance, Fall, 1993: 24-30). What are some interesting features of this histogram? What is a typical difference value? Roughly what proportion of the runners ran the late distance more quickly than the early distance? Histogram for Exercise 22
- Calculate SP (the sum of products of deviations) for the following scores, Note: Bothmeans are decimal values, so the computational formula works well.X Y0 41 10 54 12 11 3No hand written responses, I need help with plotting the graph and with the finding the area of ABC in units.Choose the correct statement about the following histogram. 1. The histogram is skewed to the left because it has a shorter tail to the left. 2. The histogram is skewed to the left because it has a longer tail to the left. 3. The histogram is skewed to the right because it has a shorter tail to the right. 4. The histogram is skewed to the right because it has a longer tail to the right.
- Consider the following frequency distribution:Class Frequency0 < 10 810 < 20 1020 < 30 1330 < 40 1240 < 50 6a. Construct a relative frequency distribution.b. Construct a cumulative frequency distribution.c. Construct a cumulative relative frequency distribution.A car company wants to know the monthly sales made in ($000), based on the brand of vehicle. The data collected was entered on a MINITAB spreadsheet for analysis. Exhibit II below was subsequently generated. Exhibit 2 Model N Mean Median Tri.Mean Std Dev S.E. Mean Hyundai 23 109 135 107.64 * 1.34 Toyota 27 165 124 143.65 9.5 ** Determine the values of * and **. Give the unbiased point estimate for the average monthly earning from Hyundai Give the unbiased point estimate for the variance of monthly earning from Hyundai Assuming normality, construct and interpret a 90% confidence interval for the average monthly earning from Toyota You are required to test at the 5% level of significance the hypothesis that the average monthly earnings on Hyundai Vehicles is equal to $110,000 versus the alternative that it is different from $110,000.The frequency table for 1,4,5,3,2,5,7,3,4,5,8,8,8,10 data has been prepared as follows. Please indicate the mistakes made in this table.