A sample of 8 cats found the following weights in kg. What is the standard deviation? See Attached Excel for Data. Use the Excel function to find the Sample SD. cat weight data.xlsx 0.087 0.295 0.9 0.275 0.104
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- Consider a sample with data values of 53, 55, 70, 58, 64, 57, 53, 69, 57, 68, and 53. Compute the mean, median, and mode.Consider a sample with data values of 10, 20, 12, 17, and 16. a. Compute the mean and median. b. Consider a sample with data values 10, 20, 12, 17, 16, and 12. How would you expect the mean and median for these sample data to compare to the mean and median for part a (higher, lower, or the same)? Compute the mean and median for the sample data 10, 20, 12, 17, 16, and 12.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…
- 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. 124Five 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.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 percent
- Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data. 18 18 14 11 8 8 10 17 12A 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 187.23 171.63 156.03 140.42 124.82State the relationship between the following:a. ARO and sample sizeb. Population size and sample sizec. TER and sample sized. EPER and sample size
- A partial relative frequency distribution is given. a. What is the relative frequency of class D? b. The total sample size is 200. What is the frequency of class D? c. Show the frequency distribution. d. Show the percent frequency distribution.Review each of the following independent sets of conditions. For each condition, calculatethe (1) sample rate of deviation, (2) ULRD, and (3) allowance for sampling risk (n = samplesize, d = deviations, ROO = risk of overreliance). What is your conclusion regarding therelationship of each of these factors to the ULRD based on comparing the ULRD across different combinations of these factors?a. n = 100, d = 8, ROO = 5%.b. n = 100, d = 4, ROO = 5%.c. n = 100, d = 8, ROO = 10%In systematic sampling, the population is 270 and the selected sample size is 18. The sampling interval is: a. 7 b. 18 c. 27 d. 15