my answer on the image is correct. i need help doing the following below:Use the standard error that you found and mu to graph a 95th confidence interval for the sample mean distribution using https://onlinestatbook.com/2/calculators/inverse_normal_dist.html Fluorescent lightbulbs have lifetimes that followa normal distribution, with an average life of 1,465 days and a standard deviation of 1,733 hours. In the production process themanufacturer draws random samples of 275 lightbulbs and determines the mean lifetime of the sample. What is the standard deviation, in hours, of this sample mean?Answer: 104.5

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Description: my answer on the image is correct. i need help doing the following below:Use the standard error that you found and mu to graph a 95th confidence interval for the sample mean distribution using https://onlinestatbook.com/2/calculators/inverse_normal_d

According to central limit theorem, if the sample size is more than 30 or the population is normally…

Answered: Use the standard error that you found…

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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my answer on the image is correct. i need help doing the following below:

Use the standard error that you found and mu to graph a 95^th confidence interval for the sample mean distribution using https://onlinestatbook.com/2/calculators/inverse_normal_dist.html

Fluorescent lightbulbs have lifetimes that followa normal distribution, with an average life of 1,465 days and a standard deviation of 1,733 hours. In the production process the
manufacturer draws random samples of 275 lightbulbs and determines the mean lifetime of the sample. What is the standard deviation, in hours, of this sample mean?
Answer: 104.5

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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