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
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