Statistics with MATLAB

Statistics with MATLAB, available at Free, has an average rating of 4.55, with 16 lectures, based on 111 reviews, and has 8131 subscribers.

You will learn about Statistics with MATLAB This course is ideal for individuals who are Anyone interested in statistics and matlab It is particularly useful for Anyone interested in statistics and matlab.

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Summary

Title: Statistics with MATLAB

Price: Free

Average Rating: 4.55

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Statistics with MATLAB

Who Should Attend

Anyone interested in statistics and matlab

Target Audiences

Anyone interested in statistics and matlab

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.

Course Curriculum

Chapter 1: Vectors, matrices, indexing, sub-vectors and sub-matrices, cells, arrays

Lecture 1: Creating, Concatenating, and Expanding Matrices

Lecture 2: Accessing to the Elements of Vectors and Matrices

Lecture 3: Reshaping and sorting vectors and matrices

Lecture 4: Multidimentional arrays

Lecture 5: Cell array creation and accessing to the elements of cell arrays

Lecture 6: Access Data in Cell Array

Chapter 2: Tables and manipulation of tables in MATLAB

Lecture 1: Table creation in MATLAB

Lecture 2: Table creation from file using readtable matlab function and import table icon

Lecture 3: Table creation, assigning row and variable names and accessing to the elements

Lecture 4: Table indexing methods

Chapter 3: Histogram Plot

Lecture 1: Histogram plot using the MATLAB histogram() function

Lecture 2: Histogram plot using the MATLAB histogram() function

Lecture 3: Histogram Plot with Normalization

Lecture 4: Plot multiple histograms, fitting pdf to normalized histogram

Lecture 5: 2D Histogram plot using histogram2() MATLAB function

Chapter 4: Hypothesis Testing

Lecture 1: Z-TEST using MATLAB

Instructors

Prof. Dr. Academic Educator
Prof. Dr. Academic Educator

Rating Distribution

1 stars: 0 votes
2 stars: 4 votes
3 stars: 19 votes
4 stars: 40 votes
5 stars: 48 votes

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