EMSE 4765

Syllabus

Introduction

Course Files

R - Files

Python-Files

Solutions

Project Files

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DATA ANALYSIS FOR ENGINEERS AND SCIENTISTS:

To run the Python Files you need to first install, which you can download for free from: https://www.python.org/

Next, you need to install an environment editor to run the python files. I use Spyder, which you can download for free from:
https://www.spyder-ide.org/

Part 1: Statistics Review

SESSION 1:

Code Chapter 1: John_and_Mary.py, Dist_Library.py, Iris_Analysis.py

Code Chapter 4: Examples_Chapter4.py, Dist_Library.py

Code Chapter 5: Examples_Chapter5.py

SESSION 2:

Data Chapter 15-16: OldFaithFul.csv, SoftwareFailure.csv, DrillTime.csv, AustralianTimber.csv

Code Chapter 15: OldFaithFul_1.py, OldFaithFul_2.py, OldFaithFul_3.py, OldFaithFul_4.py, DrillTime.py, ECDF_Example.py, SoftwareFailure.py, DrillTime.py, AustralianTimber.py, Dist_Library.py

SESSION 3:

Data Chapter 16, 17-23: OldFaithFul.csv, SoftwareFailure.csv, AustralianTimber.csv, Speed_of_Light.csv, Coal.csv

Code Chapter 16: Wick_Temperature.py, Empirical_Quantile_Example.py, OldFaithFul_IQR.py, OldFaithFul_Boxplot.py, SoftwareFailure_Boxplot.py, Dist_Library.py

Code Chapter 17:
SpeedofLight.py, Law_of_Large_Numbers_Normal.py, SoftwareFailure_with_Exp_Fit.py,
AustralianTimber_Residuals_NormalProbPlot.py,
AustralianTimber_Prediction.py, Dist_Library.py

Code Chapter 23: Normal_conf_var_known.py, Normal_conf_var_known_sample.py, Normal_conf_var_unknown.py, Normal_conf_var_unknown_sample.py, Coal.py, Student_T_Normal_Sample.py, Student_T_Expon_Sample.py

Part 2: Statistical Inference

SESSION 4:

Data Session 4: Voltage.csv

Code Session 4- Estimator Distributions: T_Variance_Known.py, Chi_Squared_n.py, Chi_Squared_n_minus_1.py, T_Variance_Unknown.py, F_Estimator.py, Dist_Library.py

Code Session 4- Confidence Intervals & Hypothesis Testing: Voltage_1.py, Voltage_2.py, Voltage_3.py, Voltage_4.py, Voltage_5.py, Voltage_6.py, Voltage_mu_sigma.py, Voltage_Type_II_Error.py, Voltage_OC_Curve.py

SESSION 5:

Data Session 5: Voltage.csv

Code Session 5 - Distribution Fitting:
Voltage_Normal_MOM_Fit.py, Voltage_Gamma_MOM_Fit.py, Voltage_Normal_MLE_Fit.py, Voltage_Gamma_Minitab_Fit.py, Voltage_CDF_Fit_Comparison.py

Code Session 5- Chi-Squared Test:
Voltage_ChiSquared_Test_Normal_Distribution_Equal_Bin_Width.py,
Voltage_ChiSquared_Test_Normal_Distribution_Equal_Probability.py,
Voltage_ChiSquared_Test_Gamma_Distribution_Equal_Bin_Width.py,
Voltage_ChiSquared_Test_Gamma_Distribution_Equal_Probability.py

Code Session 5- QQ Plots + Credibility Intervals:
Voltage_QQ_Plot.py, Normal_conf_cred_var_unknown.py

Part 3: Hotelling's T^2 Multivariate Test

SESSION 6:

Data Session 6: LeanAngle.csv , HeightWeight.csv

Code Session 6- Two Sample test on the mean and variance:
LeanAngle.py , F_Estimator_2.py, F_Estimator_3.py

Code Session 6- Matrix Calculations: Matrix_Operations.py

Code Session 6- Height Weight Analysis: HeightWeight.py, HeightWeight_Standardized.py

SESSION 7:

Data Session 7: HeightWeight.csv

Code Session 7: Hottelling T2 Test: HeightWeight_Hotelling.py, Hotelling_Power_Data.py

Code Session 7: Box M Test: BoXM_Power_Data.py

SESSION 8:

Data Session 8: TruckCost.csv

Code Session 8: Hottelling T2 Test: Hotelling_Truck_Cost.py

Code Session 8: Box M Test: BoxM_Truck_Cost.py

SESSION 9: MIDTERM EXAM

Part 4: Regression Analysis:

SESSION 10 - 12:

Data Session 10 - 12: HeightWeight.csv, Leslie_Salt.csv

Code Session 10 - 12:
Height_Weight_Prediction.py,
Height_Weight_Four_in_one_plot.py,
Leslie_Salt_Dependent_Variable_Analysis.py,
Leslie_Salt_Correlation_Analysis.py,
Leslie_Salt_Regression_Small_1.py,
Leslie_Salt_Regression_Small_2.py,
Leslie_Salt_Regression_Large.py,
Leslie_Salt_Regression_Prediction.py

Part 5: ANOVA:

SESSION 13:

Data Session 13: Tensile_Strength.csv

Code Session 13:
Tensile_Strength.py, Tensile_Strength_Analysis.py

SESSION 14:

Data Session 14: AdhesionForce.csv, Routing_Data.csv, Etching_Data.csv

Code Session 14:
Adhesion_Force.py, Adhesion_Force_Analysis.py