# آموزش تست فرضیه با استفاده از Minitab و R در علم داده

Data Science- Hypothesis Testing Using Minitab and RPublisher: UdemyAuthor: ExcelR SolutionsDuration: 03:56:01Link:https://www.udemy.com/hypothesis-testing-using-minitab-and-r/Introduction to Hypothesis Testing, Performing Parametric and non parametric tests, Analysis of VarianceData Science - Hypothesis Testing using Minitab, R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following:

Hypothesis Testing
4 Lectures
28:30
Describes about course content and route map for the entire course
Hypothesis Testing Course Content
Preview
02:13
The cardinal ‘formula’ for a data scientist; The outcomes relating to Null Hypothesis and Alternate Hypothesis
Hypothesis Testing Introduction
Preview
11:02
Null Hypothesis statement and Alternate hypothesis statement; formulating them with some examples
Hypothesis Testing Formulation
10:59
The difference between one tail and two tail in a distribution curve; The four main types of tests and the testing flowpath. Performing the sample t - test using a case study
Hypothesis Testing- Various Types of Tests
04:16

Hypothesis Testing -Parametric Using Minitab
16 Lectures
02:48:58
Identification of the input and output variable of interest; Types of tests to for various combinations of Y and X; Flow path to determine the test to be conducted based on the input and output parameters; Parametric tests for normal data and non parametric tests for non normal data; Understanding the business problem; Identifying the inputs and output variables of interest in the case study and choosing the appropriate test;
1 Sample Z- Test Part -1
08:28
Formulating the Null and the alternate hypothesis for normality test; Choice of null hypothesis based on absence of action and the vice versa for alternate hypothesis; checking for normality in Minitab; interpreting the Q–Q plot; Comparing the computed ‘p’ value with α (alpha) for taking the decision on whether or not to take the action; Step to performing the 1 sample Z test, selection of appropriate hypothesis in minitab. Formulation of the conclusion statement at the end of the test
1 Sample Z Test Part-2
13:13
Perform check test on data for normality; selection of the appropriate test to be conducted based on conditions of data;
1 Sample T Test
15:36
Performing Non parametric test for non normal data; 1 sample Sign test for one sample using population median measure
1 Sample Sign Test
06:26
Understanding what external conditions are, in an experiment; identifying the existence of external conditions given various scenarios
Paired T Test
11:59
Defining the Null and Alternate hypothesis statements for the given case study; defining the Ho and Ha for the various comparative tests that are a part of the t - test, Using minitab.
2 Sample T-Test Part-1
18:13
Conducting the comparative tests viz Normality test, Equal variance test using Minitab
2 Sample T-Test Part-2
07:36
Learn the hypothesis statements for 2 sample t - test and the 2 sample t - test using minitab, Iterative hypothesis testing
2 Sample T-Test Part-3
08:50
Formulating the null and the alternate hypothesis statements based on the test flowpath; conduct of Normality test for all samples
One Way ANOVA Part-1
08:33
Learn how to conduct Normality test for all samples, Variance test for more than 2 populations
One Way ANOVA Part-2
18:13
Formulation of Null and alternate hypothesis statement for ANOVA test for comparisons; Conduct of one way ANOVA using Minitab.
One Way ANOVA Part-3
03:16
The distinction between one way ANOVA, Two Way ANOVA and Multiple ANOVA or MANOVA.
ANOVA-1,2, Multiple Way
02:54
Application of 2 proportion test based on the output & input data types; Formulating the hypothesis statements; Iterative testing of 2 proportion test
2 Proportion Test
11:54
Understanding the business problem, Identifying the Y and X and their data types; Choosing the appropriate tests based on the flow path diagram; Perform Normality test using ‘graphical summary’ option in Minitab; Performing one way Anova and reconciling the results with the Hypothesis statement;
Tukey Pairwise Comparisons Part-1
15:33
Selecting all the possible graphical outputs in Minitab for analysis; Using Tukey test for comparisons of means; Interpreting the Tukey pair wise comparison based on ‘letter’ sharing method; Interpreting residual plots, Interval plot, Individual plot and box plot, Inferring the sample with the highest mean and lowest mean based on the difference measures
Tukey Pairwise Comparisons Part-2
13:15
Recap of the various types of tests based on the data types of X and Y, understand the purpose of using hypothesis testing for predictive analytics
Recap Of Hypothesis Testing
04:59

Hypothesis Testing -Non Parametric Using Minitab
4 Lectures
38:33
Choosing correct test based on the number of inputs; Formulating the combined Hypothesis statement for Null and Alternate; Conducting the Chi Square Test using minitab
Chi Square Test
08:52
Perform the check for normality test for 2 samples; choosing the non – parametric test of comparisons of medians when the data is found to be not normal
Mann Whitney Test
10:59
Checking for normality test; performing the paired T test when the external conditions are the same; formulating the Null and the alternative hypothesis statements;
Paired T Test Assumption
09:19
Understanding the logic behind the mood’s median test; Mood’s Median Vs Kruskal Wallis where to use; Performing both the tests and comparing the results;
Moods Median Test
09:23

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