Solving nth Order Linear Differential Equations using Laplace Transforms in Python
Lecture Notes for IECV Coursework at MCC (From archives)
Comparing two distributions: Pearson Correlation Coefficient
Discussing various Absolute/Relative measures of dispersion
A detailed discussion on different central tendencies.
Using Open Source Software JASP to measure dispersion, symmetry and curve of the distribution.
Some gossips about mathematicians and a special case of correlation coefficient. We also look at what’s regression, how to apply.
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!
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…
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!