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- What technique compares dispersion with the average of data? Select one: a. Standard deviation b. Process capability c. Variance d. Coefficient of variationFor the data given below, fill in the blanks, using Formulas, Descriptive Statistics and Regression outputs. Mean of X2: 1) 28th Percentile of X1: 2) 3) Standard Deviation of X2: 4) Y XI X2 10 20 400 70 11 30 450 97 12 Median of X2: 10 350 54 5) Correlation Between X1 and Y: Minimum value of X2: 13 20 375 40 14 6) 30 400 65 15 9) bo : 25 400 94 16 7) b,. 30 450 53 17 8) 20 300 35 10) 11) 18 SSR: 10 300 75 19 SSE: 40 300 53 ST: F Statistics: 20 12) Regression output 20 350 64 13) 14) 21 30 450 68 22 Adjusted R Square: 10 400 96 23 15) MSE: 30 325 54 24 16) MSR: 25 17) Standard Error of Regression: 18) 19) 20) 26 Standard error of X2: 27 t-statistics of X2: 28 Fit the regression equation: 29 30 Sheet1What is the zscore for: data= 31 mean =39 Sx= 3.7 O 2.16 O -2.16 О 3.7 O -3.7
- X is a point estimator of: Select one: a. Population mean b. Sample mean c. Sample variance d. Population varianceGiven the following statistics for the distributions A, B and C: Distribution A: mean = 15 and standard deviation = 5 Distribution B: mean = 30 and standard deviation = 18 Distribution C : mean = 25 and standard deviation = 10 19. Determine which distribution is more dispersed and which distribution is more consistent.A study was undertaken to determine whether there was a significant weight (in lb) loss after one year course of therapy for diabetes, and whether the amount of weight (in lb) loss was related to initial weight. The following table gives the initial weight (x) and weight after one year of therapy (y) for 16 newly diagnosed adult diabetic patients. a. Is a one-sided or two sided test needed here? b. What is the mean weight for each time period? c. What is the standard deviation for each time period? d. Which statistical test is appropriate to use on these data? e. Carry out the hypothesis test(s) in question in above d. Use α=0.01 f. Are the means statistically different? g. Find the 99% confidence interval for the difference of the two means on weight. Interpret your finding.
- I. Find: Solve the following ungrouped data. x-x (x-x)² 3 7 10 11 17 19 21 23 25 a. Mean b. Variance c. Standard Deviation d. Measure of Position D4 P45 Q3 D9 P85For Table 4, determine the following point estimates: 7. The mathematical expectation. 8. the variance. 9. the root mean square deviation 10. the correlation coefficient between X and Y. Table 4 is in the attached image. Thank youFind the mean X̅ and the standard deviation S of the following data: i Xi 1 6 2 16 3 20 4 15 the mean X̅ = the standard deviation S =
- Calculate the z score given the following information: x=20 mean = 15 SD = 5All the following measures are used to measure the variation of data: Interquartile range, Standard Deviation, Mode. Select one: T FThe trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes (BMI) for beauty pageant winners from two different time periods. Find the coefficient of variation for each of the two sets of data, then compare the variation. BMI (from the 1920s and 1930s): 20.5 21.9 22.1 22.3 20.3 18.7 18.8 19.4 18.3 19.2 BMI (from recent winners): 19.4 20.3 19.6 20.3 17.7 17.9 19.2 18.7 17.7 16.8 The coefficient of variation for the BMI's of beauty pageant winners from the 1920s and 1930s is %. (Round to one decimal place as needed.) The coefficient of variation for the BMI's of recent beauty pageant winners is %. (Round to one decimal place as needed.) Is there a difference in variation between the two data sets? O A. The BMI's of beauty pageant winners from the 1920s and 1930s have considerably less variation than the BMI's of recent winners. O B. The BMI's of recent beauty pageant winners have…