Based on nutrition facts of a famous brand of potato chips, its average sodium content is 85 mg per serving (1 bag) with a standard deviation of 2.2 mg. Sixty four (64) bags were taken as sample. Assume that the variable is normally distributed.Answer all the quesitons please. I'll give rate. Thanks.The choices are same for all questions 0.002184.64What is the mean of the sampling distribution?0.9982Find the standard error of the samplingdistribution of the sample mean.0.28Using the central limit theorem,find the probability that the average85.8sodium content will be larger than 85.8 mg?83.15Find the range of values wherethe middle 80% of the distribution of0.03sample means will lie (A to B).The value of A is85Following the range of valuesproblem (middle 80%), the value85.36of Bis85.2384.77

Solution-: Given: μ=85,σ=2.2,n=64 We want to find, (a) What is mean of the sampling distribution?…

Answered: 0.0021 84.64 What is the mean of 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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Based on nutrition facts of a famous brand of potato chips, its average sodium content is 85 mg per serving (1 bag) with a standard deviation of 2.2 mg. Sixty four (64) bags were taken as sample. Assume that the variable is normally distributed.

Answer all the quesitons please. I'll give rate. Thanks.

The choices are same for all questions

0.0021
84.64
What is the mean of the sampling distribution?
0.9982
Find the standard error of the sampling
distribution of the sample mean.
0.28
Using the central limit theorem,
find the probability that the average
85.8
sodium content will be larger than 85.8 mg?
83.15
Find the range of values where
the middle 80% of the distribution of
0.03
sample means will lie (A to B).
The value of A is
85
Following the range of values
problem (middle 80%), the value
85.36
of Bis
85.23
84.77

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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