Find the mean of the weight of the mice and find the standard deviation of the weight of the mice there are two parts of this question. Question 8, 10.3.26-LSE Homework: 11.3 Measure of DispersionPart 1 of 2Nutrition: animals. The mouse weights (in grams) of a random sample of 100 mice involved in a nutrition experiment are:41.5-43.5 43.5-45.5 45.5-47.5 47.5-49.5 49.5-51.525IntervalFrequency 27131551.5-53.5 53.5– 55.5 |55.5- 57.5 57.5- 59.55IntervalFrequency 1615|2a. Find the mean of the weight of the mice.gms(Type an integer or a decimal. Round to two decimal places.)Help me solve thisView an exampleTextbookesc80F3000F1F2000 FA@$%&*2346.78QWERYtab

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Answered: 三 E Homework: 11.3 Measure of…

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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Find the mean of the weight of the mice and find the standard deviation of the weight of the mice there are two parts of this question.

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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