Suppose your population data was 3, 3, 4, 4, and 6. The mean is 4 and the standard deviation approximately 1.2. Use the formula to standardize the data point 6: Subtract the mean (6 - 4 = 2), Divide by the standard deviation. Your standardized value (z-score) will be: 2 / 1.2 = 1.7. What actually does this Z score mean? Let us consider the Z score of 23. It is 1.32, which means that 23 is 1.32 times the standard deviation away from it's mean! That is, as mean is 17 and the Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find Upper P 5 , the 5 th percentile. This is the bone density score separating the bottom 5 % from the top 95 %. : p5 =z point where the area is shaded to the left. invNorm (.05,0,1)= -1.64. No customers c. Find and interpret the z-scores associated with customers identified in part b. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The customer(s) in part b has/have a z-score(s) of (Round to one decimal place as needed. Use a comma to separate answers as needed.) O B. Question: What does the Z score measure? Choose the correct answer below. A. The skewness of a distribution B. The difference between a value and the mean C. The number of standard deviations from the mean D. The middle value of a distribution. Show transcribed image text. There's just one step to solve this. What does a z-score of 3.4 mean? Given a distribution with a mean of 60 and standard deviation of 98, find the z-score of 120.76. Given a distribution with a mean of 60 and standard deviation of 21, find a value with a z-score of 2.19. Find the z-score of 187.37, given a distribution with a mean of 185 and standard deviation of 1. .

what does the z score represent