P-Value From Test Statistic (Interactive Simulation)
33
Introduction to Nonlinear Regression
34
Non-linear Regression for Kinetic Data
35
Non-linear Regression for Kinetic Data Using POLYMATH
36
Linear Regression for Kinetic Data
37
Linear Regression for Kinetic Data Using POLYMATH
38
Determining Michaelis-Menten Kinetics Parameters Using Nonlinear Regression
39
Nonlinear Regression to Determine Michaelis-Menten Kinetics Parameters Using POLYMATH
40
Nonlinear Regression to Determine Michaelis-Menten Kinetics Parameters Using Excel Solver
41
Nonlinear Regression to Determine Confidence Limits for Michaelis-Menten Kinetics Parameters - Excel
42
How to Determine Activation Energy Using Nonlinear Regression
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Determine Activation Energy Using Nonlinear Regression with POLYMATH
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Determine Activation Energy Using Nonlinear Regression with Excel Solver
45
Calculate 95% Confidence Intervals for Nonlinear Regression in Excel Part 1
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Calculate 95% Confidence Intervals for Nonlinear Regression in Excel Part 2
47
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactor Part 1: Overview
48
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 2: Excel Calculations
49
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 3: Excel Spreadsheet
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Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 4: Confidence Limits
Description:
Explore a comprehensive series of statistics screencasts designed for engineers, focusing on data analysis and regression techniques. Learn about various probability distributions, hypothesis testing, confidence intervals, and regression analysis methods. Master the use of tools like MATLAB, Excel, and POLYMATH for statistical computations and data visualization. Dive into advanced topics such as non-linear regression, ANOVA, and kinetics parameter determination. Gain practical skills through interactive simulations and real-world examples, including applications in chemical engineering and reactor kinetics. Enhance your ability to interpret statistical results, perform data-driven decision-making, and apply statistical methods to engineering problems.