Rajesh Neupane

Rajesh Neupane

PhD student Dairy Science (Computer vision/Machine Learning)

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Chi-square test

5 minute read

Published:

This tutorial employs the Null Hypothesis Significance Testing (NHST) framework and the Chi-Square ($\chi^2$) test to analyze categorical data. This approach is an alternative, yet equivalent, method to the two-sample proportion test for categorical data when a large sample size is assumed.

categorical

Chi-square test

5 minute read

Published:

This tutorial employs the Null Hypothesis Significance Testing (NHST) framework and the Chi-Square ($\chi^2$) test to analyze categorical data. This approach is an alternative, yet equivalent, method to the two-sample proportion test for categorical data when a large sample size is assumed.

category1

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

category2

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

cool posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

cows

dairy

Chi-square test

5 minute read

Published:

This tutorial employs the Null Hypothesis Significance Testing (NHST) framework and the Chi-Square ($\chi^2$) test to analyze categorical data. This approach is an alternative, yet equivalent, method to the two-sample proportion test for categorical data when a large sample size is assumed.

Non-Parametric Test with Example

2 minute read

Published:

Non-parametric statistics can be thought of as a set of statistical models that minimize two things:

  1. The number of assumptions.
  2. The strength of these assumptions.

modeling

Non-Parametric Test with Example

2 minute read

Published:

Non-parametric statistics can be thought of as a set of statistical models that minimize two things:

  1. The number of assumptions.
  2. The strength of these assumptions.

non-parametric

Non-Parametric Test with Example

2 minute read

Published:

Non-parametric statistics can be thought of as a set of statistical models that minimize two things:

  1. The number of assumptions.
  2. The strength of these assumptions.

power

Power calculation in statistical test

8 minute read

Published:

The goal of employing power is strategic. We want to give ourselves the greatest chance of successfully rejecting the null hypothesis, assuming it is incorrect. Understanding power is essential for statisticians in planning how and what data to collect to extract useful knowledge.

research

stat

Power calculation in statistical test

8 minute read

Published:

The goal of employing power is strategic. We want to give ourselves the greatest chance of successfully rejecting the null hypothesis, assuming it is incorrect. Understanding power is essential for statisticians in planning how and what data to collect to extract useful knowledge.

statitisc

test

Chi-square test

5 minute read

Published:

This tutorial employs the Null Hypothesis Significance Testing (NHST) framework and the Chi-Square ($\chi^2$) test to analyze categorical data. This approach is an alternative, yet equivalent, method to the two-sample proportion test for categorical data when a large sample size is assumed.

Power calculation in statistical test

8 minute read

Published:

The goal of employing power is strategic. We want to give ourselves the greatest chance of successfully rejecting the null hypothesis, assuming it is incorrect. Understanding power is essential for statisticians in planning how and what data to collect to extract useful knowledge.