Statistical Analysis (You may use excel but please show the process. No long explanation needed. Rate will be given)Multiple Choice: Choose the correcr answera.CI on the mean: -8.45 <= u1 - u2 <= -3.55 b.CI on the mean: -7.57 <= u1 - u2 <= -4.43 c. None among the choices d.CI on the mean: -7.86 <= u1 - u2 <= -4.14 The burning rates of two different solid-fuel propellants used in air crew escape systems arebeing studied. It is known that both propellants have approximately the same standard deviationof burning rate; that is σ₁ = 0₂: 3 centimeters per second. Two random samples of n₁ = 2020 specimens are tested; the sample mean burning rates are ₁ 18 centimeters persecond and X₂ = 24 centimeters per second.==and n₂=Use a = 0.10. Construct a 90% confidence interval on the difference in means.

The sample mean burning rates are x1=18x2=24 The random samples are n1=20n2=20 The standard…

Answered: Statistical Analysis (You may use excel…

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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Statistical Analysis (You may use excel but please show the process. No long explanation needed. Rate will be given)

Multiple Choice: Choose the correcr answer

a.	CI on the mean: -8.45 <= u1 - u2 <= -3.55
	b.CI on the mean: -7.57 <= u1 - u2 <= -4.43
	c. None among the choices
	d.CI on the mean: -7.86 <= u1 - u2 <= -4.14

The burning rates of two different solid-fuel propellants used in air crew escape systems are
being studied. It is known that both propellants have approximately the same standard deviation
of burning rate; that is σ₁ = 0₂: 3 centimeters per second. Two random samples of n₁ = 20
20 specimens are tested; the sample mean burning rates are ₁ 18 centimeters per
second and X₂ = 24 centimeters per second.
=
=
and n₂
=
Use a = 0.10. Construct a 90% confidence interval on the difference in means.

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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