1/12 Instrument Calibration I: 1^st Order Calibration Curve

• Calibration Curve Handout
• Excel Example Worksheet
• Calibration graphs in instrumental analysis
• Product-moment correlation coefficient
• Regression of y on x
• Calculation of concentration and its random error
• Linest Excel Function (Harris Section 4.7)
• Problem Set 1: "Cadmium Calibration Problem"

1/19 Instrument Calibration II: ANOVA, Regression Calculations, Curvilinear Regression Methods

• Variance, Sum of Squares (SS), and Degrees of Freedom (DOF
• Total Sum Squares (SS_tot), Regression SS (SS_regr), Residual SS (SS_res), and Coefficient of Determination (R²)
• Replicate Sum of Squares (SS_repl) and Lack of Fit Sum of Squares (SS_lof)
• Curvilinear regression methods
• Calculation of unknown concentrations from nonlinear curves (Harris Box 4-2)
• Problem Set 2: "Sum of Squares Calculation," Sum of Squares Classroom Handout

1/26 Instrument Calibration III: Limits of  Detection, the Method of Standard Addition Class Examp

• Limits of detection
• Method of standard additions
• Problem Set 3

2/2 Instrument Calibration IV: Internal Standard Methods of Quantitation Class Example

• Internal standard (IS) methodology (Harris 5-4)
• Response factor IS methods
• Response ratio IS methods
• Problem Set 4

2/16 Calibration Quiz in Sims 211

2/23 Descriptive Statistics I:

• Mean and standard deviation
• Distribution of repeated measurements
• Log-normal distribution
• Sample definition and sampling distribution of the mean
• Confidence limits of the mean for large samples
• Problem Set 5

3/2 Inferential Statistics: Class Example Spreadsheet,

• Comparison of experimental mean with known value
• Comparison of two experimental means
• Paired t-test
• One-sided and two-sided tests
• F-Test for the comparison of standard deviations
• Outliers
• Problem Set 5 Due

3/9 No Class

3/23 Analytical Quality I

• Overview of Statistical Process Control(SPC)
• Shewhart Control Charts for mean values and ranges

3/30 Multivariate Regression

• Multivariate Linear Regression Classroom Data
• Mathematical models to describe experimental data
• Determining the model
• Predictions, root-mean-square errors of calibration and prediction
• PS6 Shewhart Control Charts Due Data Set
• Problem Set: Predicting Daily Maxium Ozone Concentrations
  

4/6 No Class Problem Set Due: Predicting Daily Maxium Ozone Concentrations

4/13 Quantitative Structure-Activity Relationships(QSAR)

4/20 Review - QSAR Problem Set Due; QSAR Data Set

5/1 Cumulative Final Examination 6:30 PM