(a) B 2.7 3.0 2.6 2.8 (b) 3.2 = Qcrit Decision: E 0.812 0.792 0.794 0.900 Qcrit = Decision: F (c) 70.65 70.63 70.64 70.21 Q = Qerit = Decision: Critical Values for the Rejection Quotient, Q* Qcrit (Reject if Q> Qcrit) Number of Observations 3 90% Confidence 95% Confidence 99% Confidence 0.941 0.970 0.994 456789 0.765 0.829 0.926 0.642 0.710 0.821 0.560 0.625 0.740 0.507 0.568 0.680 0.468 0.526 0.634 0.437 0.493 0.598 10 0.412 0.466 0.568
(a) B 2.7 3.0 2.6 2.8 (b) 3.2 = Qcrit Decision: E 0.812 0.792 0.794 0.900 Qcrit = Decision: F (c) 70.65 70.63 70.64 70.21 Q = Qerit = Decision: Critical Values for the Rejection Quotient, Q* Qcrit (Reject if Q> Qcrit) Number of Observations 3 90% Confidence 95% Confidence 99% Confidence 0.941 0.970 0.994 456789 0.765 0.829 0.926 0.642 0.710 0.821 0.560 0.625 0.740 0.507 0.568 0.680 0.468 0.526 0.634 0.437 0.493 0.598 10 0.412 0.466 0.568
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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The last result in each set of data may be an outlier. Apply the Q test (99% confidence level) to determine whether or not there is a statistical basis to reject the result.
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