Suppose that a sample is taken with an average of 110 and a standard deviation of 15. Calculate the z-score associated with a value of 130. Round your answer to two (2) decimal points.
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- 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 12The 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 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.
- Determine the median and the values corresponding to the first and third quartiles in the fol-lowing data.4647494951535454555559The 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 __ __, denoted p hat is given by the formula p hat =. where x is the number of individuals with a specified characteristic in a sample of n individuals
- 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 whatThe following 20 observations are for two quantitative variables, x and y. a. Create a scatter chart for these 20 observations. b. Fit a linear trendline to the 20 observations. What can you say about the relationship between the two quantitative variables?
- 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.A 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 187.23 171.63 156.03 140.42 124.82The standard deviation of.alt=”f$ar{X},f$ “> is usually called the A.standard error of the sample B.randomized standard error C.standard error of the mean D.standard error of the population