Roll 1 Die 1000 times by pressing the "Roll 100 Sets" button ten times. Then do the same for Roll 3 Dice and Roll 12 Dice. Which best describes the sampling distributions?All three sampling distributions appear to follow the normal distribution.From left to right, the sampling distributions begin normal but then become non-normal.From left to right, the sampling distributions begin non-normal but then become more normal.All three sampling distributions appear to follow non-normal distributions.

Given Roll 3 and 12 die 1000 times by pressing the "roll 100 sets" button 10 times.

Answered: Roll 1 Die 1000 times by pressing the…

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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Roll 1 Die 1000 times by pressing the "Roll 100 Sets" button ten times. Then do the same for Roll 3 Dice and Roll 12 Dice. Which best describes the sampling distributions?

All three sampling distributions appear to follow the normal distribution.
From left to right, the sampling distributions begin normal but then become non-normal.
From left to right, the sampling distributions begin non-normal but then become more normal.
All three sampling distributions appear to follow non-normal distributions.

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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