Problem 8 X1, X2,...,Xn are a random sample. Explain if the following function is a statistic or not. > (X; – µ)? i=1

9. The average weight of a Coastal male Grizzly Bear is approximately normal with E(x); =795 pounds and SD * (x) = 80 pounds. How likely is it to randomly select 64 Coastal male Grizzly Bears with a sample average weight of 810 pounds or more? Find the z-score for the problem above. Round the answer to the nearest ten-thousandth.

A population of N = 5 scores has a mean of µ = 8. If one score with a value of X = 4 is removed from the population, what is the value for the new mean?  What is the mode for the population of scores shown in the frequency distribution table? X f   5 3   4 4   3 3   2 3   1 2 After every score in a sample of n = 5 is multiplied by 2, the mean is calculated and found to be M = 8. What was the mean of the original sample?

Given the mean and standard deviation of data set Y as 20 and 5, how can I find the mean and standard deviation of Y + 6?   Question refers to chapter 16 problem 25 of Stats, Modeling the World, AP Edition, part B.   Thanks so much!!

suppose the mean is 8 and 1/3 and the population variance is 6 and 8/9 and a>9 x 5 9 a frequency 3 f 2 a=? f=?

Step 2 of 3: Compute the Value of the test statistic. Round your answer to three decimal places.   Step 3 of 3: Draw a conclusion and interpret the decision

Question 24 please

Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?

In each of the following scenarios there is something wrong. Describe what is wrong and give a reason for you the answer. 1) If you multiply a random vriable by 10, then the mean is multiplied by 10 and the variance is multiplied by 10. 2) When finding then mean of the sum of two random variables, you need to know the correlation between them.