Statistics with MATLAB

Statistics with MATLAB (Please don't give rank to the lecture before all the lectures are uploaded)
Rating: 3.9 out of 5 (23 ratings)
3,064 students
Statistics with MATLAB
Rating: 3.9 out of 5 (23 ratings)
3,065 students
Statistics with MATLAB

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
Course content
5 sections • 17 lectures • 5h 2m total length
  • Introduction
    03:10
  • Creating, Concatenating, and Expanding Matrices
    13:56
  • Accessing to the Elements of Vectors and Matrices
    16:16
  • Reshaping and sorting vectors and matrices
    12:40
  • Multidimentional arrays
    24:54
  • Cell array creation and accessing to the elements of cell arrays
    19:21
  • Access Data in Cell Array
    12:42
  • Table creation in MATLAB
    11:40
  • Table creation from file using readtable matlab function and import table icon
    28:23
  • Table creation, assigning row and variable names and accessing to the elements
    20:46
  • Table indexing methods
    31:27
  • Histogram plot using the MATLAB histogram() function
    26:00
  • Histogram plot using the MATLAB histogram() function
    11:12
  • Histogram Plot with Normalization
    17:03
  • Plot multiple histograms, fitting pdf to normalized histogram
    18:26
  • 2D Histogram plot using histogram2() MATLAB function
    20:19
  • Z-TEST using MATLAB
    14:17

Instructor
Prof. Dr. Academic Educator
Prof. Dr. Academic Educator
  • 4.0 Instructor Rating
  • 290 Reviews
  • 14,869 Students
  • 11 Courses

Prof. Dr. Academic Educator is working  in University. He is teaching communication, signal processing, VHDL programming and hardware courses for years.  He is interested in VHDL programming of FPGA devices. Prof. Dr.  Academic Educator has written 10 text books all related to Electrical and Electronics engineering subjects, such as VHDL programming, coding theory, signal and systems etc.