Record:   Prev Next
Author Hibbert, D.Brynn
Title Data Analysis for Chemistry : An Introductory Guide for Students and Laboratory Scientists
Imprint Cary : Oxford University Press, 2005
©2005
book jacket
Descript 1 online resource (192 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Intro -- Contents -- Readers' Guide: Definitions, Questions, and Useful Functions: Where to Find Things and What to Do -- 1. Introduction -- 1.1. What This Chapter Should Teach You -- 1.2. Measurement -- 1.3. Why Measure? -- 1.4. Definitions -- 1.5. Calibration and Traceability -- 1.6. So Why Do We Need to Do Data Analysis at All? -- 1.7. Three Types of Error -- 1.8. Accuracy and Precision -- 1.9. Significant Figures -- 1.10. Fit for Purpose -- 2. Describing Data: Means and Confidence Intervals -- 2.1. What This Chapter Should Teach You -- 2.2. The Analytical Result -- 2.3. Population and Sample -- 2.4. Mean, Variance, and Standard Deviation -- 2.5. So How Do I Quote My Uncertainty? -- 2.6. Robust Estimators -- 2.7. Repeatability and Reproducibility of Measurements -- 3. Hypothesis Testing -- 3.1. What This Chapter Should Teach You -- 3.2. Why Perform Hypothesis Tests? -- 3.3. Levels of Confidence and Significance -- 3.4. How to Test If Your Data Are Normally Distributed -- 3.5. Test for an Outlier -- 3.6. Determining Significant Systematic Error -- 3.7. Testing Variances: Are Two Variances Equivalent? -- 3.8. Testing Two Means (Means t-Test) -- 3.9. Paired t-Test -- 3.10. Hypothesis Testing in Excel -- 4. Analysis of Variance -- 4.1. What This Chapter Should Teach You -- 4.2. What Is Analysis of Variance (ANOVA)? -- 4.3. Jargon -- 4.4. One-Way ANOVA -- 4.5. Least Significant Difference -- 4.6. ANOVA in Excel -- 4.7. Sampling -- 4.8. Multiway ANOVA -- 4.9. Two-Way ANOVA in Excel -- 4.10. Calculations of Multiway ANOVA -- 4.11. Variances in Multiway ANOVA -- 5. Calibration -- 5.1. What This Chapter Should Teach You -- 5.2. Introduction -- 5.3. Linear Calibration Models -- 5.4. Calibration in Excel -- 5.5. r[sup(2)]: A Much Abused Statistic -- 5.6. The Well-Tempered Calibration -- 5.7. Standard Addition -- 5.8. Limits of Detection and Determination
Appendix -- Bibliography -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z
Based on D Brynn Hibbert's lectures on data analysis to undergraduates and graduate students, this book covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. It is meant as an entry level book targeted at learning and teaching undergraduate data analysis
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Hibbert, D.Brynn Data Analysis for Chemistry : An Introductory Guide for Students and Laboratory Scientists Cary : Oxford University Press,c2005
Subject Chemistry -- Statistical methods.;Analysis of variance
Electronic books
Alt Author Gooding, J. Justin
Record:   Prev Next