Hypothesis Testing: Easiest way with practical examples

Hello Friends,

            In the last video, we had seen all terms and concepts used in hypothesis testing with practical examples. Once all concepts have been understood, let’s start learning of Hypothesis Testing.

            In this video, we are going to learn a detailed understanding of Hypothesis Testing and general procedure to conduct it with the help of practical examples for easy understanding and better clarity.           

This video consists of the following points:

• What is a Hypothesis test with a practical example?

• Null and Alternative Hypotheses with example

• The general procedure to conduct a hypothesis test

• Example of performing a basic hypothesis test

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Hello Friends,

            In this video, we are going to learn all types of hypothesis testing and selection of the correct type of test based on the situation for correct analysis of the data, with the help of practical examples for easy understanding and better clarity.

This video consists of the following points:

• How does Hypothesis test work?

• All types of Hypothesis tests based on types of data

• All types of Hypothesis tests based on the number of samples in comparison

• All types of Hypothesis tests based on metrics in comparison

• Illustration of each Hypothesis test type with a practical example

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Hello Friends,

            From this video onward, we are going to learn each type of hypothesis test with practical examples in Microsoft excel as well as in Minitab software.

            In this video, we are going to learn 1-Sample t test in Minitab software and SigmaXL with the help of practical examples for easy understanding and better clarity.

This video consists of the following topics:

• What is a 1-sample t test in Hypothesis testing?

• Hypotheses for 1-Sample t test

• Data considerations for 1-Sample t test

• Example of 1-Sample t test and Confidence Interval

• Conduct 1-sample t test in SigmaXL with a practical example

• Conduct 1-sample t test in Minitab with a practical example

• Detailed interpretation of results from the 1-sample t test conducted in both SigmaXL and Minitab

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Hello Friends,

            In the last video on hypothesis testing, we had seen a 1st hypothesis test for comparing one sample with the target i.e. 1-sample t-test.

            In this video, we are going to learn 2nd hypothesis test for comparing one sample with the target i.e. 1 variance (σ)^2 or 1 sample standard deviation test, in Minitab software with the help of practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is 1 Variance (σ)^2 or 1 sample standard deviation test in Hypothesis testing?

• Hypotheses for 1 Variance (σ)^2 or 1 sample standard deviation test

• Data considerations for 1 Variance test (σ)^2 or 1 sample standard deviation test

• Example of 1 Variance test (σ)^2 and Confidence Interval

• Conduct 1 Variance test (σ)^2 in Minitab with a practical example

• Detailed interpretation of results from 1 Variance test (σ)^2 conducted in both Minitab including the use of chi-square method or Bonett method for analysis, p-value and its interpretations, confidence intervals for Population standard deviation and Population variance and finally the conclusion.

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Hello Friends,

In the before videos on hypothesis testing, we had seen hypothesis tests for comparing one sample with the target for continuous data.

In this video, we are going to learn 1st hypothesis test for comparing one sample with the target for attribute data i.e. 1-sample % defective or 1 proportion test, in Minitab software with the help of a practical example for easy understanding and better clarity.

This video consists of the following topics:

• What is 1 Proportion(p) test in Hypothesis testing?

• Hypotheses for 1 Proportion(p) test

• Data considerations for 1 Proportion(p) test

• Example of 1 Proportion(p) test and Confidence Interval

• Conduct 1 Proportion(p) test in Minitab with a practical example

• Detailed interpretation of results from 1 Proportion(p) test, p-value and its interpretations, confidence intervals for Population Proportion and finally the conclusion.

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Hello Friends,

            In this video, we are going to learn the next hypothesis test i.e. Chi-Square Goodness-of-Fit test to determine whether the proportion of items in each category is significantly different from the proportions that you specify, in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Chi-Square Goodness-of-Fit test in Hypothesis testing?

• Hypotheses for Chi-Square Goodness-of-Fit test

• Data considerations for Chi-Square Goodness-of-Fit test

• Example of Chi-Square Goodness-of-Fit Test and Confidence Interval

• Conduct a Chi-Square Goodness-of-Fit test in Minitab with a practical example

• Detailed interpretation of results from Chi-Square Goodness-of-Fit test including Observed vs Expected values, Overall Chi-Square statistic, Contribution to the Chi-Square value by category, p-value and its interpretations and finally the conclusion.

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Hello Friends,

            So far, we had seen hypothesis tests for comparing one sample with the target until the last videos. Now, we are going to learn Hypothesis tests for comparing two samples with each other from this video onward.

            In this video, we are going to learn the 1st hypothesis test to compare the mean of two samples i.e. 2-sample t-test, in Microsoft Excel as well as Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the 2-sample t-test in Hypothesis testing?

• Hypotheses for 2-sample t-test

• Data considerations for 2-sample t-test

• Example of 2-sample t-test and Confidence Interval

• Conduct 2-sample t-test in Minitab with a practical example

• Conduct 2-sample t-test in Microsoft Excel with a practical example

• Detailed interpretation of results from a 2-sample t-test including Descriptive Statistics, Estimation for Difference, Test results, p-value & its interpretations and finally the conclusion.

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Hello Friends,

            In the last video, we are had seen 1st hypothesis test to compare the mean of two samples i.e. 2-sample t-Test, in Microsoft Excel as well as Minitab software with the help of a practical example.

            In this video, we are going to learn the 2nd hypothesis test to compare the mean of two samples i.e. Paired t Test, in Microsoft Excel as well as Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Paired t Test in Hypothesis testing?

• Hypotheses for Paired t Test

• Data considerations for Paired t Test

• Example of Paired t Test and Confidence Interval

• Conduct Paired t Test in Minitab with a practical example

• Conduct Paired t Test in Microsoft Excel with a practical example

• Detailed interpretation of results from Paired t-Test including Descriptive Statistics, Estimation for Difference, Test results, p-value & its interpretations and finally the conclusion.

            I am sure, you will be liked it.

Hello Friends,

            In the last video, we had seen the 2nd hypothesis test to compare the mean of two samples i.e. Paired t Test, in Microsoft Excel as well as Minitab software with the help of a practical example.

            In this video, we are going to learn the 3rd hypothesis test to compare the mean of two samples i.e. 2-Sample Variance (Standard deviation) Test, in Minitab software with the help of a practical example for easy understanding and better clarity. As this test cannot be conducted in Microsoft Excel, you need to use statistical software like Minitab.

            This video consists of the following topics:

• What is the 2-Sample Variance (Standard Deviation) Test in Hypothesis testing?

• Hypotheses for 2-Sample Variance (Standard Deviation) Test

• Data considerations for 2-Sample Variance (Standard Deviation) Test

• Example of 2-Sample Variance (Standard Deviation) Test and Confidence Interval

• Conduct 2-Sample Variance (Standard Deviation) Test in Minitab with a practical example

• Detailed interpretation of results from 2-Sample Variance (Standard Deviation) Test including Descriptive Statistics, Estimation for the ratio of standard deviations, Test results by both Bonett and Levene’s method, p-value & its interpretations and finally the conclusion.

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Hello Friends,

            Till the last videos on hypothesis test to compare 2 samples with each other, we had completed the learning of hypothesis tests for continuous data.

            In this video, we are going to learn the 1st hypothesis test to compare 2 samples with each other for attribute data i.e. 2-Percentage Defectives Test or 2-Sample Proportion Test in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the 2-Sample Proportion (% Defectives) Test in Hypothesis testing?

• Hypotheses for 2-Sample Proportion (% Defectives) Test

• Data considerations for 2-Sample Proportion (% Defectives) Test

• Example of 2-Sample Proportion (% Defectives) Test and Confidence Interval

• Conduct 2-Sample Proportion (% Defectives) Test in Minitab with a practical example

• Detailed interpretation of results from 2-Sample Proportion (% Defectives) Test including Descriptive Statistics, Estimation for the difference in proportions (% defectives), p-value & its interpretations and finally the conclusion.

            I am sure, you will be liked it.

Hello Friends,

            In the last video, we had seen the 1st hypothesis test to compare 2 samples with each other for attribute data i.e. 2-Percentage Defectives Test or 2-Sample Proportion Test.

            In this video, we are going to learn the “Chi-square Test for Association” in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Chi-Square Test for Association in Hypothesis testing?

• Hypotheses for Chi-Square Test for Association

• Data considerations for Chi-Square Test for Association

• Example of Chi-Square Test for Association

• Conduct Chi-Square Test for Association in Minitab with a practical example

• Detailed interpretation of results from Chi-Square Test for Association including Count, Expected Count, Contribution to Chi-Square, Pearson chi-square statistic and it’s p-value, Likelihood ratio chi-square statistic and it’s the p-value, Interpretation of results and finally the conclusion.

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Hello Friends,

            In this video, we are going to learn another 2-Sample hypothesis test i.e. “2-Sample Poisson Rate” in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the 2-Sample Poisson Rate Test in Hypothesis testing?

• Hypotheses for 2-Sample Poisson Rate Test

• Data considerations for 2-Sample Poisson Rate Test

• Example of 2-Sample Poisson Rate Test and Confidence Interval

• Conduct a 2-Sample Poisson Rate Test in Minitab with a practical example

• Detailed interpretation of results from 2-Sample Poisson Rate Test including Descriptive Statistics, Estimation for the difference in rate, p-value & its interpretations and finally the conclusion.

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Hello Friends,

            From this video, let’s see the hypothesis test to compare more than two samples with each other.

            In this video, we are going to learn the 1st hypothesis test for continuous data to compare more than two sample means i.e. One-Way ANOVA in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the One-Way ANOVA (Analysis of Variance) in Hypothesis testing?

• Hypotheses for One-Way ANOVA (Analysis of Variance)

• Data considerations for One-Way ANOVA (Analysis of Variance)

• Example of One-Way ANOVA (Analysis of Variance)

• Data collection for One-Way ANOVA (Analysis of Variance)

• Conduct One-Way ANOVA (Analysis of Variance) in Minitab with a practical example with_

                   1. Selection of options for analysis

                   2. Comparison Procedures

                   3. Selection of Graphs for analysis and

                   4. Selection of options for Results

• Detailed interpretation of results from One-Way ANOVA (Analysis of Variance) including_

                   1. p-value and it’s interpretation,

                   2. A detailed explanation of Interval plot

                   3. Confidence intervals for differences in Means

                   4. Grouping Information

                   5. Tukey Simultaneous 95% Confidence Intervals

                   6. Interpretation of R-Square values and

                   7. Finally, the conclusion.

            I am sure, you will be liked it.

Hello Friends,

            In the last video, we had seen the 1st hypothesis test for continuous data to compare more than two sample means i.e. One-Way ANOVA.

            In this video, we are going to learn 2nd hypothesis test for continuous data to compare more than two sample standard deviations or variances i.e. Test for Equal Variances in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Test for Equal Variances (Standard Deviations) in Hypothesis testing?

• Hypotheses for Test for Equal Variances (Standard Deviations)

• Data considerations for Test for Equal Variances (Standard Deviations)

• Example of Test for Equal Variances (Standard Deviations)

• Data collection for Test for Equal Variances (Standard Deviations)

• Conduct Test for Equal Variances (Standard Deviations) in Minitab with a practical example with_

           1. Selection of options for analysis

           2. Selection of Graphs for analysis and

           3. Selection of options for Results

• Detailed interpretation of results from Test for Equal Variances (Standard Deviations) including_

           1. p-value and it’s interpretation,

           2. A detailed explanation of the Summary plot

           3. 95% Bonferroni Confidence intervals for Standard Deviations

           4. Multiple comparisons test and Levene’s test and

           5. Finally, the conclusion.

I am sure, you will be liked it.

Hello Friends,

            In this video, we are going to learn the hypothesis test for attribute data to compare more than two samples.

            There are 2 tests available based on the data and of comparison.

            If you count the number of items in each category, such as poor, fair, good, excellent, etc. and compare the percentage of items in each category between the samples, then you have to use Chi-Square Test for Association. We had already seen this test in past videos.

            In this video, we are going to learn the 2nd hypothesis test for attribute data to compare more than two samples i.e. Chi-Square % Defective Test in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Chi-Square % Defective Test in Hypothesis testing?

• Hypotheses for Chi-Square % Defective Test

• Data considerations for Chi-Square % Defective Test

• Example of Chi-Square % Defective Test

• Data collection for Chi-Square % Defective Test

• Conduct Chi-Square % Defective Test in Minitab Assistant with a practical example

• Detailed interpretation of results from Chi-Square % Defective Test including_

                   1. Summary report of the Chi-Square % Defective Test for variables

                   2. Diagnostic report of the Chi-Square % Defective Test for variables

                   3. Power report of the Chi-Square % Defective Test for variables

                   4. Report card of the Chi-Square % Defective Test for variables, and

                   5. Finally, the conclusion.

            I am sure, you will be liked it.

Hello Friends,

            In the last video, we had seen the 1st hypothesis test to compare 2 samples with each other for attribute data i.e. 2-Percentage Defectives Test or 2-Sample Proportion Test.

            In this video, we are going to learn the “Chi-square Test for Association” in Minitab software with the help of a practical example for easy understanding and better clarity.

            This video consists of the following topics:

• What is the Chi-Square Test for Association in Hypothesis testing?

• Hypotheses for Chi-Square Test for Association

• Data considerations for Chi-Square Test for Association

• Example of Chi-Square Test for Association

• Conduct Chi-Square Test for Association in Minitab with a practical example

• Detailed interpretation of results from Chi-Square Test for Association including Count, Expected Count, Contribution to Chi-Square, Pearson chi-square statistic and it’s p-value, Likelihood ratio chi-square statistic and it’s the p-value, Interpretation of results and finally the conclusion.

            I am sure, you will be liked it.