(A) Convert the table to a probability table by dividing each entry by 1,000. F' Color-Blind Normal Totals C C' F 0.002 0.567 0.569 0.431 Totals 0.032 0.968 1
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- Assume that Dylan Lee found two deviations in a sample of 90 transactions. Using AICPAsample evaluation tables, Lee determined that the ULRD at a 5 percent risk of overrelianceisa. 2.0 percent.b. 2.2 percent.c. 5.9 percent.d. 6.9 percentExhibit 1.1 18 13 10 16 14 13 17 15 13 11 14 14 11 10 12 12 11 13 15 9 12 13 16 8 21 Fill in the blanks for the information listed below. Trust Test (Test of Relationship Understanding Under Stress) T-Score Sten Score Percentile Raw Score TRAIT Empathy 63 _____ _____ _____ (M = 30, SD = 3)The following is a set of data from a sample of n =11items Complete parts (a) through left parenthesis c right parenthesis . X 6 36 27 54 21 39 24 9 39 39 33 Y 2 12 9 18 7 13 8 3 13 13 11 a. Compute the covariance. (Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. A. X and Y have no correlation. B. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. C. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. D. X and Y have a strong positive correlation because as X increases, Y tends to increase also.
- The following is a set of data from a sample of n= 11 items. Complete parts (a) through (c). 14 13 4 15 3 16 12 10 19 1 Y 28 26 8 30 6 32 24 20 38 2 a. Compute the covariance. |(Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. O A. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. X and Y have a strong positive correlation because as X increases, Y tends to increase also. C. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. D. X and Y have no correlation. 124A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______. Group of answer choices 187.23 171.63 156.03 140.42 124.82A sample of n=16 observations is drawn from a normal population with µ=1000 andσ=200. Find the following.i) P(X >1050)
- Use the sample data and confidence level given below to complete parts (a) through (d). A drug is used to help prevent blood clots in cortain patients. In olinical trials, among 4202 patienta treated with the drug, 120 developed the adverse reaction of nausea. Construct a 96% confidence interval for the proportion of adverse reactions a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.)Given the following table. Calculate the mean number of children per family for the sample. * Number of children | Number of families 8. 1. 16 2. 22 14 2 1.91 2.47 O 3.14 O 2.19 O OFive observations taken for two variables follow. a. Develop a scatter diagram with x on the horizontal axis. b. What does the scatter diagram developed in part a indicate about the relationship between the two variables? c. Compute and interpret the sample covariance. d. Compute and interpret the sample correlation coefficient.
- Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 20th, 25th, 65th, and 75th percentiles.Suppose you're given a data set that classifies each sample unit into one of four categories: A, B, C, the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D or quantitative? Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative? OA. Qualitative, because they are measured on a naturally occuring numerical scale. B. Quantitative, because they are measured on a naturally occuring numerical scale. C. Quantitative, because they can only be classified into categories. D. Qualitative, because they can only be classified into categories. *** After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided. B. Qualitative, because they are measured on a naturally occurring numerical scale. OC. Quantitative, because they are measured on a naturally occurring numerical scale. OD. Quantitative, because…Given the following grades on s test: 86, 92, 100, 93, 89, 95, 79, 98, 68, 62, 71, 75, 88, 86, 93, 81, 100, 86, 96, 52; What is the percentage of scores lying within one standard deviation from the mean? Two standard deviations from the mean? Are these results consistent with what