Suppose that we have a set of 1000 values with average 4, and standard deviation 3. (This ispopulation data).a) The sum of the values of this set isb) The sum of squares of deviations from the average of the values isc) The sum of squares of the values isd) If the data has an empirical histogram, 7 is approximately theinteger as the answer).th percentile (Give anThe 97.5th percentile is approximately(Give an integer as the answer).e) If the histogram of the data is unknown, the (100 * ) th percentile is at most

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Answered: a) The sum of the values of this set is…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The following table contains 2 variables and 5 observations.
1) The coefficient of variation for males is? 2)The coefficient of variation for females is? 3) Compare the variability of grade point averages of males and females. Choose the correct answer below. A)The grade point averages of females and males do not vary. B)The grade point averages of females are more variable than males. C) The grade point averages of males are more variable than females. Your answer is not correct. D) The grade point averages of females and males have the same variation.
Based on the chart (attached) Calculate the sum of squares (SS) for overall grade average using the definitional formula
If the correlation between a person’s age and annual income is r=0.60, what does the coefficient of determination r2 tell us about the explained variation? a) 36% of the variation in a person’s annual income can be explained by the predictor variable age. b) 36% of a person’s annual income can be explained by their age c) 60% of the variation in a person’s annual income can be explained by the predictor variable age d) 60% of a person’s annual income can be explained by their age
Suppose that you have a set of data that has a mean of 34 and a standard deviation of 6. a) Is the point 28 above, below, or the same as the mean. How many standard deviations is 28 from the mean. b) Is the point 46 above, below, or the same as the mean. How many standard deviations is 46 from the mean. c) Is the point 43 above, below, or the same as the mean. How many standard deviations is 43 from the mean. d) Is the point 20 above, below, or the same as the mean. How many standard deviations is 20 from the mean.
15) Fine the sum of products (SP) and sum of squares (SS) for the variables of interest mentioned in the study above. Then find the correlation between the two variables of interest. (Round all answers to 2 decimal points) a) SP = b) SSbullying = c) SSprejudice = d) r =
A bag contains 10 discs with one of the digits 1, 2, 3 written on each Q2. disc. What is the lowest and highest possible average of the numbers on the discs? A. Lowest average = -10 and highest average 30. B. Lowest average = 10 and highest average 30. C. Lowest average = 0.1 and highest average 3. D. Lowest average = 1 and highest average 3. O A. A В. В С. С O D. D
find each value requested for the set scores listed below a. n b. Ex c. Ex^2 d. 10+E(x-3)^2 5,4,6,1,4,5,2,6
When the measure of spread is compared between two data sets, data set A has an interquartile range of 12, and data set B has an interquartile range of 23. How do the values of data set A compare to data set B? The values of data set A are about the same on average as the values of data set B. The values of data set A are more spread out compared to the values of data set B. The values of data set A are less spread out compared to the values of data set B. The values of data set A are less on average compared to the values of data set B.
Observatiom Random numbers. 33 13. 18 2. .3. 4. 43 14 38 14 6. 15 32 41 15 10 12 22 13 32 14 36 15 43 17 36 16 18 22 19 20 32. 21 28 31 34.1 14 22 23 -24 30 -25 26. 12 27 35.9 28 24 29 30 31 32 a5 33 20 34 38-25 35 30 42 26 42 36 31 38 39 29 40. 33 41 130 42 31 43. 44 24 45 22 46. 25 47 48 21 21-75 49 23 so 27
1. What is the value of (X)2 for the scores 1, 5, 2? 2. What is value of X² for the scores 1,0,2,4?
Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin, - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team===== "Brooklyn Nets" . Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1459.95122 1 80 190.65061 None of the above 81 206.320988 Coef. Std. Err. 8.439024 3.049595 -5.219512 2.156389 MS t Number of obs F(1, 80) Prob > F R-squared O The Nets lost more games than they won in 2014 P>|t| 2.77 0.007 -2.42 0.018 Adj R-squared = Root…

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a) The sum of the values of this set is b) The sum of squares of deviations from the average of the values is c) The sum of squares of the values is