Tutorial 21- Chi Square test simply Explained In Stats- Krish Naik Hindi

A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large. In simpler terms, this test is primarily used to examine whether two categorical variables (two dimensions of the contingency table) are independent in influencing the test statistic (values within the table).[1] The test is valid when the test statistic is chi-squared distributed under the null hypothesis, specifically Pearson's chi-squared test and variants thereof. Pearson's chi-squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the observed frequencies in one or more categories of a contingency table.
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[@jasonbale674]

u r the proof that nothing is impossible to understand god bless you

[@prashindu]

Complex concept explained through simple problem. Fentastic

[@brijeshpal5002]

sir u r amazing ,ur teaching style is very nice and i appreciate u for giving us this fruitfull knowledge

[@ashishkumarmishra3668]

One confusion. 2010 census data was for weight and 2020 census data was for age. Then, how we are comparing them. Kindly check.

[@krishnabhutada3983]

Fantastically explained!

[@coursetotal6570]

u'r viedo r really great, and today i was see u'r linkdin post u leave ineuron, really your contain r amazing, and sir i want you have to make a more details describe the all topic thank u

[@techvideo4752]

thanks for making such good video.

[@Gemreviewer]

Sir, in the last conclusion, I think that they want to verify the ratio or the % change in the categories rather than the cumulative population change because the Chi square test about the categorical variables, or in other words, the question is to identify that what is the change in the distribution in the dataset. Could you please correct me if I am wrong?

[@srayachakraborty6167]

Yes sir bohot maza aya samaj ne mein

[@antaramaiti9142]

Thank you sir so much

[@KareenaSheikh]

Thanku sir ❤❤❤

[@ashutoshthokare2127]

Thank u sir

[@prashantmehta2832]

The data is left-skewed

[@anonymousboy2868]

can anyone please give link for these notes?

[@NitishPrajapati26]

Sir app bholte ho ki hame population bohot big hota than aapne population proportion kaise findout kiya

[@rdxrdx1792]

Sir will it be helpful for gate da.

[@loxdrevous9103]

sir why is the distribution right skewed?

[@jpatel0924]

Chi-dist depends on degree of freedom, also it is like square of normal distribution hence that skewness,
check zstatistics video on chi-square dist. for more details.