Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type. 5.6 7.2 7.3 6.3 8.1 6.8 7.0 7.6 6.8 6.5 7.0 6.3 7.9 9.0 8.7 8.7 7.8 9.7 7.4 7.7 9.7 8.0 7.7 11.6 11.3 11.8 10.7 The data below give accompanying strength observations for cylinders. 6.8 5.8 7.8 7.1 7.2 9.2 6.6 8.3 7.0 8.6 8.0 8.1 7.4 8.5 8.9 9.8 9.7 14.1 12.6 12.0 Prior to obtaining data, denote the beam strengths by X₁, Xm and the cylinder strengths by Y₁..., Y. Suppose that the X/'s constitute a random sample from a distribution with mean μ₁ and standard deviation and that the Y's form a random sample (independent of the X's) from another distribution with mean μ₂ and standard deviation 2. (a) Use rules of expected value to show that X - Y is an unbiased estimator of #₁ -M₂. ⒸE(X) = E(X) – E(X) = μ₁ - H₂ E(X) - E(X) nm O E(X-) = = H₂-H₂ O E(X)= √E(X) - E(Y) = μ₁ - 1₂ ¸ E(X - 5) = nm(E(X) – E(\)) = μ₁ - M₂ |○ E(X − 1) = (E(X) - E(ñ)² = = μ₁ - H₂ Calculate the estimate for the given data. (Round your answer to three decimal places.) -1.2803 XMPa
Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type. 5.6 7.2 7.3 6.3 8.1 6.8 7.0 7.6 6.8 6.5 7.0 6.3 7.9 9.0 8.7 8.7 7.8 9.7 7.4 7.7 9.7 8.0 7.7 11.6 11.3 11.8 10.7 The data below give accompanying strength observations for cylinders. 6.8 5.8 7.8 7.1 7.2 9.2 6.6 8.3 7.0 8.6 8.0 8.1 7.4 8.5 8.9 9.8 9.7 14.1 12.6 12.0 Prior to obtaining data, denote the beam strengths by X₁, Xm and the cylinder strengths by Y₁..., Y. Suppose that the X/'s constitute a random sample from a distribution with mean μ₁ and standard deviation and that the Y's form a random sample (independent of the X's) from another distribution with mean μ₂ and standard deviation 2. (a) Use rules of expected value to show that X - Y is an unbiased estimator of #₁ -M₂. ⒸE(X) = E(X) – E(X) = μ₁ - H₂ E(X) - E(X) nm O E(X-) = = H₂-H₂ O E(X)= √E(X) - E(Y) = μ₁ - 1₂ ¸ E(X - 5) = nm(E(X) – E(\)) = μ₁ - M₂ |○ E(X − 1) = (E(X) - E(ñ)² = = μ₁ - H₂ Calculate the estimate for the given data. (Round your answer to three decimal places.) -1.2803 XMPa
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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Transcribed Image Text:Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type.
5.6 7.2 7.3 6.3 8.1 6.8 7.0 7.6 6.8 6.5 7.0 6.3 7.9 9.0
8.7 8.7 7.8 9.7 7.4 7.7 9.7 8.0 7.7 11.6 11.3 11.8 10.7
The data below give accompanying strength observations for cylinders.
6.8 5.8 7.8 7.1 7.2 9.2 6.6 8.3 7.0 8.6
8.0 8.1 7.4 8.5 8.9 9.8 9.7 14.1 12.6 12.0
Prior to obtaining data, denote the beam strengths by X₁,..., Xm and the cylinder strengths by Y₁ Y. Suppose that the X;'s constitute a random sample from a
distribution with mean μ, and standard deviation, and that the Y's form a random sample (independent of the X,'s) from another distribution with mean ₂ and standard
deviation ₂.
(a) Use rules of expected value to show that X - Y is an unbiased estimator of μ₁ - M₂.
ⒸE(X) = E(X) - E(X) = μ₁ −μ²₂
E(X) - E(X)
nm
O E(X-) =
= μ₁ - 1₂
O E(X)=√E(X) - E(Y) = μ₁ - H²₂2
¸ E(X − ¯) = nm(E(X) — E() = μ
-
= μ₁-
H₂
|○ E(X − ¯) = (E(X) - E(ñ)² = µ₁ −μ²₂²₂
Calculate the estimate for the given data. (Round your answer to three decimal places.)
-1.2803
X MPa

Transcribed Image Text:(b) Use rules of variance to obtain an expression for the variance and standard deviation (standard error) of the estimator in part (a).
v(x) = V(X) + V(5)
= 0x² +0,²
₁
ox-y=√V(x-n
₁
02
Compute the estimated standard error. (Round your answer to three decimal places.)
441
X MPa
(c) Calculate a point estimate of the ratio ₁/₂ of the two standard deviations. (Round your answer to three decimal places.)
81998
X
(d) Suppose a single beam and a single cylinder are randomly selected. Calculate a point estimate of the variance of the difference X - Y between beam strength and
cylinder strength. (Round your answer to two decimal places.)
7.3934
X MPa ²
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