MATLAB: An Introduction with Applications
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ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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![Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type.
6.8
6.5
8.1 7.0 7.0 11.8 6.8
8.6 10.7
7.7 7.2 7.9
7.9 7.3
5.0 11.3 11.6 7.4 9.7
9.0 9.7
7.8
7.7 7.1 6.3 6.3
8.7
Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion. [Hint: Ex, = 218.9.] (Round your ansver to three decimal places.)
MPa
State which estimator you used.
Os/x
Os
J Calculate a point estimate of the strength value that separates the weakest 50% of all such beams from the strongest 50%.
MPa
State which estimator you used.
Os
Calculate a point estimate of the population standard deviation o. [Hint: Ex = 1852.07.] (Round your answer to three decimal places.)
MPa
Interpret this point estimate.
O This estimate describes the bias of the data.
O This estimate describes the linearity of the data.
O This estimate describes the center of the data.
O This estimate describes the spread of the data.](https://content.bartleby.com/qna-images/question/b6e889d1-cb62-49bc-a347-3e98b55759a9/4d6ddb71-d92c-43d5-a7f0-18309087cb36/mv5s2xl_processed.jpeg)
Transcribed Image Text:Consider the accompanying data on flexural strength (MPa) for concrete beams of a certain type.
6.8
6.5
8.1 7.0 7.0 11.8 6.8
8.6 10.7
7.7 7.2 7.9
7.9 7.3
5.0 11.3 11.6 7.4 9.7
9.0 9.7
7.8
7.7 7.1 6.3 6.3
8.7
Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion. [Hint: Ex, = 218.9.] (Round your ansver to three decimal places.)
MPa
State which estimator you used.
Os/x
Os
J Calculate a point estimate of the strength value that separates the weakest 50% of all such beams from the strongest 50%.
MPa
State which estimator you used.
Os
Calculate a point estimate of the population standard deviation o. [Hint: Ex = 1852.07.] (Round your answer to three decimal places.)
MPa
Interpret this point estimate.
O This estimate describes the bias of the data.
O This estimate describes the linearity of the data.
O This estimate describes the center of the data.
O This estimate describes the spread of the data.
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