The amount of coffee that people drink per day is normally distributed with a mean of 17 ounces and a standard deviation of 5 ounces. 12 randomly selected people are surveyed. Round all answers to 4 decimal places where possible.What is the distribution of XX? XX ~ N(,)What is the distribution of ¯xx¯? ¯xx¯ ~ N(,)What is the probability that one randomly selected person drinks between 16 and 18 ounces of coffee per day? For the 12 people, find the probability that the average coffee consumption is between 16 and 18 ounces of coffee per day. For part d), is the assumption that the distribution is normal necessary? - No - YesFind the IQR for the average of 12 coffee drinkers.Q1 = ouncesQ3 = ouncesIQR: ounces

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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The amount of coffee that people drink per day is normally distributed with a mean of 17 ounces and a standard deviation of 5 ounces. 12 randomly selected people are surveyed. Round all answers to 4 decimal places where possible.

What is the distribution of XX? XX ~ N(,)
What is the distribution of ¯xx¯? ¯xx¯ ~ N(,)
What is the probability that one randomly selected person drinks between 16 and 18 ounces of coffee per day?
For the 12 people, find the probability that the average coffee consumption is between 16 and 18 ounces of coffee per day.
For part d), is the assumption that the distribution is normal necessary? - No - Yes
Find the IQR for the average of 12 coffee drinkers.
Q1 =  ounces
Q3 =  ounces
IQR:  ounces

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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