Solving nth Order Linear Differential Equations using Laplace Transforms in Python

# Category: Applied Mathematics

## Integral Equations and Calculus of Variations: Lecture Notes

Lecture Notes for IECV Coursework at MCC (From archives)

## Video 7: Coefficient of Correlation (Statistics for Psychologists)

Comparing two distributions: Pearson Correlation Coefficient

## Video 5, 6: Measures of Dispersion (Statistics for Psychologists)

Discussing various Absolute/Relative measures of dispersion

## Video 2, 3, 4: Measures of Central Tendency (Statistics for Psychologists)

A detailed discussion on different central tendencies.

## Calculation of Measures of Dispersion, Skewness and Kurtosis with JASP

Using Open Source Software JASP to measure dispersion, symmetry and curve of the distribution.

## Rank Correlation and Lines of Regression (Statistics for Psychologists)

Some gossips about mathematicians and a special case of correlation coefficient. We also look at what’s regression, how to apply.

## Comparing Two Distributions – Correlation Coefficient (Statistics for Psychologists)

So far we were busy finding one value to describe a distribution, and finding how spread the values are! Now, let’s look at how to compare two distributions!

## Measures of Dispersion – 2 (Statistics for Psychologists)

Standard Deviation If is the frequency distribution, then standard deviation, denoted by Greek letter σ (sigma) is given by where is the arithmetic mean of the distribution and ∑f =N . Mean Deviation Standard Deviation Uses absolute value to assure that final result is positive Squares to make all values positive, then takes positive square…

## Measures of Dispersion – 1 (Statistics for Psychologists)

Central tendency tells us about a number that describes the data – but – not about how ‘spread’ the data is. Meet the tools to measure the spread of data!