Use the normal distribution of IQ scores , which has a mean of 90 and a standard deviation of 14, and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity.view the table:Standard Scores and Percentiles for a Normal Distribution (cumulative values from the left)Full data set Open in StatCrunch + Copy to Clipboard + Open in Excel +Standard score%Standard score%minus−3.00.130.153.98minus−2.50.620.569.15minus−22.280.981.59minus−1.56.68184.13minus−115.871.593.32minus−0.918.41297.72minus−0.530.852.599.38minus−0.146.02399.87050.003.599.98The percentage of scores between 62 and 118 is ________%. Round to two decimal places as needed.

The Z-score of a random variable X is defined as follows: Z = (X – µ)/σ. Here, µ and σ are the mean…

Answered: Use the normal distribution of IQ…

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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Use the normal distribution of IQ scores , which has a mean of 90 and a standard deviation of 14, and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity.

view the table:

Standard Scores and Percentiles for a Normal Distribution (cumulative values from the left)

Full data set

	Open in StatCrunch		+
	Copy to Clipboard		+
	Open in Excel		+

Standard score

minus−3.0

0.13

0.1

53.98

minus−2.5

0.62

0.5

69.15

minus−2

2.28

0.9

81.59

minus−1.5

6.68

84.13

minus−1

15.87

1.5

93.32

minus−0.9

18.41

97.72

minus−0.5

30.85

2.5

99.38

minus−0.1

46.02

99.87

50.00

3.5

99.98

The percentage of scores between 62 and 118 is ________%. Round to two decimal places as needed.

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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