A standardized exam's scores are normally distributed. In a recent year, the mean test score was20.6and the standard deviation was5.6.The test scores of four students selected at random are13,23,7,and35.Find the z-scores that correspond to each value and determine whether any of the values are unusual. Question content area bottomPart 1The z-score for13is (Round to two decimal places as needed.)Part 2The z-score for23is (Round to two decimal places as needed.)Part 3The z-score for7is (Round to two decimal places as needed.)Part 4The z-score for35is (Round to two decimal places as needed.)Part 5Which values, if any, are unusual? Select the correct choice below and, if necessary, fill in the answer box within your choice. A.The unusual value(s) is/are(Use a comma to separate answers as needed.) B.None of the values are unusual.

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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 for

(Round to two decimal places as needed.)

Part 2

The z-score for

(Round to two decimal places as needed.)

Part 3

The z-score for

(Round to two decimal places as needed.)

Part 4

The z-score for

(Round to two decimal places as needed.)

Part 5

Which values, if any, are unusual? Select the correct choice below and, if necessary, fill in the answer box within your choice.

The unusual value(s) is/are

(Use a comma to separate answers as needed.)

None of the values are unusual.

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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