f your score on your next statistics test is converted to a z score, which of these z scores would you prefer:−2.00,−1.00,0, 1.00, 2.00? Why? Question content area bottomPart 1 A.The z score of−1.00is most preferable because it is 1.00 standard deviation below the mean and would correspond to an above average test score. B.The z score of 1.00 is most preferable because it is 1.00 standard deviation above the mean and would correspond to an above average test score. C.The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores. D.The z score of−2.00is most preferable because it is 2.00 standard deviations below the mean and would correspond to the highest of the five different possible test scores. E.The z score of 0 is most preferable because it corresponds to a test score equal to the mean.

Given that, score on next statistics test is converted to a z score.

Answered: f your score on your next statistics…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question content area bottom

Part 1

The z score of

−1.00

is most preferable because it is 1.00 standard deviation below the mean and would correspond to an above average test score.

The z score of 1.00 is most preferable because it is 1.00 standard deviation above the mean and would correspond to an above average test score.

The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores.

The z score of

−2.00

is most preferable because it is 2.00 standard deviations below the mean and would correspond to the highest of the five different possible test scores.

The z score of 0 is most preferable because it corresponds to a test score equal to the mean.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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