Find the indicated IQ score The graph to the right depicts IQ scores of adults in the scores are normally distributed with a mean of 100 and a standard deviation of 15The indicated IQ score, X is The image shows a normal distribution curve, which is a bell-shaped graph often used in statistics to represent the distribution of a set of data. The graph is divided into two sections by a vertical line at a point labeled "X" on the horizontal axis. The area to the right of this line is shaded in green and labeled "0.75," indicating that 75% of the data falls within this section. This type of graph is commonly used to illustrate probabilities and statistical concepts, such as confidence intervals or hypothesis testing.

Solution-: Let, X- be the IQ scores of adults Given: We find, IQ score (x)=?

Answered: Find the indicated IQ score The graph…

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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Find the indicated IQ score The graph to the right depicts IQ scores of adults in the scores are normally distributed with a mean of 100 and a standard deviation of 15

The indicated IQ score, X is

The image shows a normal distribution curve, which is a bell-shaped graph often used in statistics to represent the distribution of a set of data. The graph is divided into two sections by a vertical line at a point labeled "X" on the horizontal axis. The area to the right of this line is shaded in green and labeled "0.75," indicating that 75% of the data falls within this section. This type of graph is commonly used to illustrate probabilities and statistical concepts, such as confidence intervals or hypothesis testing.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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