Here is a data set that has a nearly normal distribution.datadatadatadata61.7755.750.2735.8550.9761.0242.353.4632.5956.9651.1834.1948.9159.334.746.6745.2249.3655.3646.2748.6858.0552.8839.0539.7434.9139.0540.9447.0528.2156.1859.7841.858.4648.356057.3546.1944.8665In building a Frequency Distribution Table for this data set, you need to know how many values are in the class from 60 to 65. You decided that each class will include the lower class limit, but not the upper class limit. So, how many values are there in the interval [60,65)?

Answered: Here is a data set that has a nearly…

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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Here is a data set that has a nearly normal distribution.

data	data	data	data
61.77	55.7	50.27	35.85
50.97	61.02	42.3	53.46
32.59	56.96	51.18	34.19
48.91	59.3	34.7	46.67
45.22	49.36	55.36	46.27
48.68	58.05	52.88	39.05
39.74	34.91	39.05	40.94
47.05	28.21	56.18	59.78
41.8	58.46	48.35	60
57.35	46.19	44.86	65

In building a Frequency Distribution Table for this data set, you need to know how many values are in the class from 60 to 65. You decided that each class will include the lower class limit, but not the upper class limit. So, how many values are there in the interval [60,65)?

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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