Values: R(ohm) 99.5 103.4 101.2 72.6 98.7 102.1 97.9 104.5 103.1 100.5 One measurement from the set of measurements looks like a potential outlier. After identifying this point, choose the true statement from the following: a/ This measurement can be ruled out as an outlier using both Chauvenet's criterion and the three sigma test. b/ This measurement cannot be ruled out as an outlier using Chauvenet's criterion, but it can be ruled out as an outlier using the three sigma test. c/ This measurement cannot be ruled out as an outlier neither using Chauvenet's criterion nor using the three sigma test. d/ This measurement can be ruled out as an outlier using Chauvenet's criterion, but not using the three sigma test.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 54E
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Question
An RTD is used to measure a nominal temperature of T nom 200°C.
The RTD parameters are the following: T0-0C.a 0-0.40/C,R 0-200
10 resistance imeasurement readings are take and the results are tabulated below
10
Reading
1.
979
1045 1031 1005
995 1034 101.2 726 98.7 102.1
One measiarement from the set of measurements looks ike a potential outlier.Ater identifying this point, choose the true statement from the
following
Select one
a This measurement can be ruled out as an outier using both Chauvenet's criterion and the three sigma test
b. This measurement cannot be ruled out as an outlier using Chuuvenet's criterion, but it can be nuled out as an outlier using the three
sigma test.
GThis measurement cannot be ruled out as an outlier neither using Chauvenets criterion nor uning the three sigma test
d. This measurement can be ruled out as an outlier using Chauveriers criterior, but not using the three sigma test
Values:
R(ohm) 99.5 103.4 101.2 72.6 98.7 102.1 97.9
104.5 103.1 100.5
One measurement from the set of measurements
looks like a potential outlier. After identifying this
point, choose the true statement from the
following:
a/ This measurement can be ruled out as an
outlier using both Chauvenet's criterion and the
three sigma test.
b/ This measurement cannot be ruled out as an
outlier using Chauvenet's criterion, but it can be
ruled out as an outlier using the three sigma test.
c/ This measurement cannot be ruled out as an
outlier neither using Chauvenet's criterion nor
using the three sigma test.
d/ This measurement can be ruled out as an
outlier using Chauvenet's criterion, but not using
the three sigma test.
Transcribed Image Text:An RTD is used to measure a nominal temperature of T nom 200°C. The RTD parameters are the following: T0-0C.a 0-0.40/C,R 0-200 10 resistance imeasurement readings are take and the results are tabulated below 10 Reading 1. 979 1045 1031 1005 995 1034 101.2 726 98.7 102.1 One measiarement from the set of measurements looks ike a potential outlier.Ater identifying this point, choose the true statement from the following Select one a This measurement can be ruled out as an outier using both Chauvenet's criterion and the three sigma test b. This measurement cannot be ruled out as an outlier using Chuuvenet's criterion, but it can be nuled out as an outlier using the three sigma test. GThis measurement cannot be ruled out as an outlier neither using Chauvenets criterion nor uning the three sigma test d. This measurement can be ruled out as an outlier using Chauveriers criterior, but not using the three sigma test Values: R(ohm) 99.5 103.4 101.2 72.6 98.7 102.1 97.9 104.5 103.1 100.5 One measurement from the set of measurements looks like a potential outlier. After identifying this point, choose the true statement from the following: a/ This measurement can be ruled out as an outlier using both Chauvenet's criterion and the three sigma test. b/ This measurement cannot be ruled out as an outlier using Chauvenet's criterion, but it can be ruled out as an outlier using the three sigma test. c/ This measurement cannot be ruled out as an outlier neither using Chauvenet's criterion nor using the three sigma test. d/ This measurement can be ruled out as an outlier using Chauvenet's criterion, but not using the three sigma test.
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