Answered: indicated z score. Assume the curve is…

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

Find the indicated z score. Assume the curve is a standard normal distribution with mean 0 and standard deviation 1.
Round your answer to 2 decimal places.

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 + ...

Expert Solution

Step 1

We are given that the it is the standard normal distribution which has mean equal to 0 and standard deviation equal to 1.

The area for the respective z-scores is given in the standard normal table.
In the standard normal table, the area which lie to the left of the z-scores is given. In this the right side area is given as 0.0153.

We know that the total are under the standard normal curve is 1. Hence, subtract 0.0153 form 1 to obtain the left side area.

Left area=1-Right side area
=1-0.0153
=0.9847