Statistics with MATLAB

Name: Statistics with MATLAB
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Statistics with MATLAB (Please don't give rank to the lecture before all the lectures are uploaded)

Created byProf. Dr. Academic Educator

Last updated 2/2020

English

What you'll learn

Statistics with MATLAB

Course content

4 sections • 16 lectures • 4h 59m total length

Creating, Concatenating, and Expanding Matrices13:56
In this lecture, we will explain how to create, concatenate and expand vectors and matrices in MATLAB
Accessing to the Elements of Vectors and Matrices16:16
In this lecture, accessing to the elements of vectors and matrices is demonstrated using MATLAB
Reshaping and sorting vectors and matrices12:40
Multidimentional arrays24:54
In this lecture, multidimentional arrays will be explained
Cell array creation and accessing to the elements of cell arrays19:21
Cell array creation and accessing to the elements of cell arrays is explained
Access Data in Cell Array12:42
Accessing data in cell arrays and sub cell formation are explained.

Table creation in MATLAB11:40
Table creation using variables is explained in MATLAB
Table creation from file using readtable matlab function and import table icon28:23
In this lecture, table creation from reading a file is explained in MATLAB
Table creation, assigning row and variable names and accessing to the elements20:46
In this lecture, we first illustrate the creation of tables via different methods, then show how to assign or chance row and variable names of the tables, and next do some exercises for accessing to the elements of the tables using row and column names
Table indexing methods31:27
In this lecture, we will explain table indexing methods in MATLAB and solve some MATLAB exercises for table indexing

Histogram plot using the MATLAB histogram() function26:00
In this lecture, we explain the use of MATLAB function histogram(), and give information about the histogram graph obtained using the MATLAB function histogram().
Histogram plot using the MATLAB histogram() function11:12
The lecture is a continuation of the previous lecture, we master about the use of MATLAB histogram() function.
Histogram Plot with Normalization17:03
In this lecture, we explain different use of the histogram plot using MATLAB function histogram(), and also explain the normalization operation on the histogram plots to get the probability mass and the probability density function graphs of the data vector.
Plot multiple histograms, fitting pdf to normalized histogram18:26
In this lecture, we will explain plotting multiple histograms, and illustrate the histogram fitting to Gaussian probability density function and introduce histcounts() MATLAB function.
2D Histogram plot using histogram2() MATLAB function20:19
In this lecture, we explain 2D histogram plot using the MATLAB function histogram2. We provided clear examples for 2D histogram plotting.

Requirements

Statistic knowledge at beginner level

Description

In this course, statistic subjects will be covered using MATLAB. We will start with the explanation of vectors, matrices and cells, then proceed with the tables which is an important subject in statistics. Density functions and cumulative distribution functions will be explained. Histograms and boxplots use in MATLAB will be explained by examples. We will consider Hypothesis tests using MATLAB functions ztest, ttest, vartest. Analysis of variance, and multivariate analysis of variance will be studied using MATLAB. Linear and non-linear regression models will be covered. Generation of random data for definite densities and simulation using random data is the last topic to be covered in this course.

Who this course is for:

Anyone interested in statistics and matlab

Statistics with MATLAB

What you'll learn

Explore related topics

Course content

Vectors, matrices, indexing, sub-vectors and sub-matrices, cells, arrays6 lectures • 1hr 40min

Tables and manipulation of tables in MATLAB4 lectures • 1hr 32min

Histogram Plot5 lectures • 1hr 33min

Hypothesis Testing1 lecture • 14min

Requirements

Description

Who this course is for: