An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. Compressive Strength (psi) Observations Rodding Level 10 15 20 25 1530 1530 1440 1610 1650 1500 1560 1730 1530 1500 1490 1510 (a) Is there any difference in compressive strength due to the rodding level? Use a = 0.05. Calculate to 2 decimal places fo Is there statistical evidence to say that rodding level affects compressive strength? (b) Find to 2 decimal places the P-value for the F-statistic computed in part (a). P-value= (c) Analyze the following residual plots to determine model adequacy Does the assumption of normality seem reasonable? Does there appear to be an outlier in the data? Does the assumption of constant variance seem reasonable?
An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. Compressive Strength (psi) Observations Rodding Level 10 15 20 25 1530 1530 1440 1610 1650 1500 1560 1730 1530 1500 1490 1510 (a) Is there any difference in compressive strength due to the rodding level? Use a = 0.05. Calculate to 2 decimal places fo Is there statistical evidence to say that rodding level affects compressive strength? (b) Find to 2 decimal places the P-value for the F-statistic computed in part (a). P-value= (c) Analyze the following residual plots to determine model adequacy Does the assumption of normality seem reasonable? Does there appear to be an outlier in the data? Does the assumption of constant variance seem reasonable?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Normal Score
Reda
Resda
100
100
-100
-100
10
1800
Normal Probability Plot of the Residuals
(response is STRENGTH)
Residual
ResidualsVersus RODDING
poni STRENGTH)
ROODING
ResidualsVersus the Fitted Values
1000
Find Value
100
100](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbdd53060-a704-4ff2-a8db-50bd6eeac3ee%2Fed1c1277-b537-49ea-89b2-f1203644316a%2Fmnlaiq_processed.png&w=3840&q=75)
Transcribed Image Text:Normal Score
Reda
Resda
100
100
-100
-100
10
1800
Normal Probability Plot of the Residuals
(response is STRENGTH)
Residual
ResidualsVersus RODDING
poni STRENGTH)
ROODING
ResidualsVersus the Fitted Values
1000
Find Value
100
100
![An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete
to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The
resulting compressive strength of the concrete specimen is the response. The data are shown in the following table.
Compressive Strength (psi)
Observations
Rodding Level
10
15
20
25
1530 1530 1440
1610 1650 1500
1560 1730 1530
1500 1490 1510
(a) Is there any difference in compressive strength due to the rodding level? Use a = 0.05.
Calculate to 2 decimal places for
Is there statistical evidence to say that rodding level affects compressive strength?
(b) Find to 2 decimal places the P-value for the F-statistic computed in part (a).
P-value=
(c) Analyze the following residual plots to determine model adequacy,
Does the assumption of normality seem reasonable?
Does there appear to be an outlier in the data?
Does the assumption of constant variance seem reasonable?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbdd53060-a704-4ff2-a8db-50bd6eeac3ee%2Fed1c1277-b537-49ea-89b2-f1203644316a%2F072jzga_processed.png&w=3840&q=75)
Transcribed Image Text:An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete
to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The
resulting compressive strength of the concrete specimen is the response. The data are shown in the following table.
Compressive Strength (psi)
Observations
Rodding Level
10
15
20
25
1530 1530 1440
1610 1650 1500
1560 1730 1530
1500 1490 1510
(a) Is there any difference in compressive strength due to the rodding level? Use a = 0.05.
Calculate to 2 decimal places for
Is there statistical evidence to say that rodding level affects compressive strength?
(b) Find to 2 decimal places the P-value for the F-statistic computed in part (a).
P-value=
(c) Analyze the following residual plots to determine model adequacy,
Does the assumption of normality seem reasonable?
Does there appear to be an outlier in the data?
Does the assumption of constant variance seem reasonable?
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