Download presentation

Presentation is loading. Please wait.

Published byMarvin Erwin Modified over 3 years ago

1
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 1 Estimation of Random Deviations in Analytical Methods using Analysis of Variance Objectives Application of good experimental design Importance of replication and randomisation Use of F-tests and hypothesis testing Estimation of random deviations in an analytical method

2
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 2 Experimental Design Fixed and random effects Factors and levels Replication Randomisation

3
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 3 Analytical Methods Can be simple one-step procedures or involving multiple steps and complex manipulations Tend to be hierarchical in nature Difficult to estimate the relative variance contribution of each step

4
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 4 Schematic of Hierarchical Extraction Method Extract with acetic acid for 30 min Centrifuge and separate supernatant Extract with hydroxylammonium chloride for 30 min Analyse supernatant using FAAS

5
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 5 Experimental Design for Extraction of Zn

6
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 6 The Statistical Model

7
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 7 Breakdown of the Variance Contributions

8
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 8 The Null Hypothesis H 0 "The extraction does not contribute significantly to the overall variance of the method".

9
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 9 Testing the Null Hypothesis If P = the probability of rejecting H 0 when it is true then: P<0.001: very strong evidence against H 0 (i.e. 99.9 % confidence level). P<0.01:strong evidence against H 0 (i.e. 99 % confidence level). P<0.05:some evidence against H 0 (i.e. 95% confidence level). P>0.05:little or no evidence against H 0

10
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 10 Randomised Order of Analysis

11
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 11 Sample Data

12
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 E. EvansEstimation of Random Deviations in Analytical Methods Using Analysis of Variance 12 Results of ANOVA Factor E1E2(E1)Error DF 2618 SS 674.171928.9115.71 MS 337.09321.490.87 F 1.05368.35 P 0.4070.000 Variance component 1.734106.8710.873 % variance 1.697.60.8

Similar presentations

OK

Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.

Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google

Ppt on eddy current inspection Ppt on 2d and 3d figures 2nd Ppt on layer 3 switching wiki Ppt on elections in india download music Ppt on number system for class 9 cbse Ppt on water resources for class 4 Download ppt on conic sections for class 11 Ppt on dot net basics Introduction to liquid crystal display ppt on tv Ppt on latest technology in communication