(d) Calculate a point estimate of the proportion of all such beams whose flexural strength exceeds 10 MPa. [Hint: Think of an observation as a "success" if it exceeds 10.] (Round your answer to three decimal places.) (e) Calculate a point estimate of the population coefficient of variation a/µ. (Round your answer to four decimal places.) State which estimator you used.
(d) Calculate a point estimate of the proportion of all such beams whose flexural strength exceeds 10 MPa. [Hint: Think of an observation as a "success" if it exceeds 10.] (Round your answer to three decimal places.) (e) Calculate a point estimate of the population coefficient of variation a/µ. (Round your answer to four decimal places.) State which estimator you used.
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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I need only d and e thank you
![(d) Calculate a point estimate of the proportion of all such beams whose flexural strength exceeds 10 MPa. [Hint: Think of an observation as a "success" if it exceeds 10.] (Round your answer to three decimal
places.)
(e) Calculate a point estimate of the population coefficient of variation o/µ. (Round your answer to four decimal places.)
State which estimator you used.
O s/x](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F704a64b5-5250-41d0-9c29-5aaf5a50e535%2Fa8154f38-48a5-4ee3-9302-167a0f1edf94%2Fw6nddwk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(d) Calculate a point estimate of the proportion of all such beams whose flexural strength exceeds 10 MPa. [Hint: Think of an observation as a "success" if it exceeds 10.] (Round your answer to three decimal
places.)
(e) Calculate a point estimate of the population coefficient of variation o/µ. (Round your answer to four decimal places.)
State which estimator you used.
O s/x
![Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type.
8.7 7.2
7.7 6.5 7.8
7.0
11.8
9.7 7.9
8.1 6.3 7.6
7.8
6.0
11.6 7.0 10.7 7.3 6.8
9.0
6.8
7.7 9.7
6.3 8.6 7.4 11.3
(a) Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion. [Hint: Ex; = 220.3.] (Round your answer to three decimal places.)
MPа
State which estimator you used.
O s/x
(b) Calculate a point estimate of the strength value that separates the weakest 50% of all such beams from the strongest 50%.
MPа
State which estimator you used.
O s/X
(c) Calculate a point estimate of the population standard deviation o. [Hint: Ex;² = 1868.85.] (Round your answer to three decimal places.)
MPа
Interpret this point estimate.
This estimate describes the spread of the data.
This estimate describes the bias of the data.
This estimate describes the center of the data.
This estimate describes the linearity of the data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F704a64b5-5250-41d0-9c29-5aaf5a50e535%2Fa8154f38-48a5-4ee3-9302-167a0f1edf94%2Fz1dnqv_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type.
8.7 7.2
7.7 6.5 7.8
7.0
11.8
9.7 7.9
8.1 6.3 7.6
7.8
6.0
11.6 7.0 10.7 7.3 6.8
9.0
6.8
7.7 9.7
6.3 8.6 7.4 11.3
(a) Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion. [Hint: Ex; = 220.3.] (Round your answer to three decimal places.)
MPа
State which estimator you used.
O s/x
(b) Calculate a point estimate of the strength value that separates the weakest 50% of all such beams from the strongest 50%.
MPа
State which estimator you used.
O s/X
(c) Calculate a point estimate of the population standard deviation o. [Hint: Ex;² = 1868.85.] (Round your answer to three decimal places.)
MPа
Interpret this point estimate.
This estimate describes the spread of the data.
This estimate describes the bias of the data.
This estimate describes the center of the data.
This estimate describes the linearity of the data.
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