Tutorial 33- P Value,T test, Correlation Implementation with Python- Hypothesis Testing

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Most awaited Video. Here is a video which provides a detailed explanation about how you can implement P value,t test and Correlation

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This is the best explanation of the T test on YouTube no doubt!!!

zijieliu
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Great Video, Kudos! But, we should never say "we are accepting Null Hypothesis", we SHOULD Say it as "We are Failing to Reject Null Hypothesis", as there is always a possibility of error that lies with our sample data

srinathyasoda
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Thank you Krish for the introduction of statistical tools in python. Now only I realized how to do comprehensive statistical analysis without depending on Microsoft Excel (and addon software apps) which has limited capabilities in the Data Science field.

nilupulperera
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Summary:

One categorical variable One sample t-test
Two categorical variable Chi square test
One continuous variable T test
Two or more continuous Correlation and then T-test
variable
One Continuous and one T test
categorical which has two
categories

One Continuous and one ANNOVA Test
or more categorical which
has more than two categories

Two variables and you want Two sample T test
to compute if their means are
different

One variable and we have Paired sample T test
created one more variable
based on first variable by adding
some proportion to it on time basis

@Krish - Please suggest

shrikantagrawal
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Very near to...100k sir
congrats sir!

manikantasai
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Hi Krish, your explanation and example is excellent. But a small correction to the conclusions at the end of the test. We have to conclude the statement with respect to the alternate hypothesis. We should never say that "we are accepting null hypothesis".

venkivtz
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Thanks for the explanation. By the way this is the second video from you I watched. I understood you much more clearly this time I guess because of the microphone (non native English speaker). Please keep it in mind.

ivancarrillo
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The previous video teaching was excellent. Present video need to include chalk board activity for better

pavanaramu
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Thank you so much, sir, for the effort you are putting to educate us all. I want to make a career transition in Artificial Intelligence in computer vision and the NLP processing field. My question is do I need to be familiar with the ML concepts like feature engineering etc and ML algorithms or is it enough if I focus only on Deep Learning. I don't see much overlap between those two but both are treated as part of Data Science in the industrial setup.

skumarr
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You are great Sir, that's a lot.

SameerAli-nmxn
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Bhai, incredibly clear video. One doubt- how to go ahead with the hypothesis testing looking at the dataset? Means, how to decide whether any sort of such tests are required to be done on the dataset?

madhav
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very good explanation sir, thanks a lot

sumittagadiya
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Summary : A One sample t-test tests the mean of a sample group against a known population mean.
Two sample t test, An Independent Samples t-test compares the means for two groups.
A Paired sample t-test compares means from the same group at different times (say, one year apart).

itplacementprep
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watched the video for the second time and practices on to Jupiter notebook.Thanks

sandipansarkar
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99k subscribers were there while making this video, now it is 262k subscribers, means 262k-99k people are on the way to become data scientist during covid pandemic. 2021 will have less demand for data scientists as supply is increasing! This is just sample testing

veereshbk
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sir,
what is the difference between mean that you are passing as an argument in possion distribution and mean you are calculating subsequently?

soujanyabagam
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Sir, I have a doubt. On timeline 7:03 you said we reject null hypothesis in this case. But p_value > 0.05 and output is we are accepting null hypothesis. Please correct me if i am wrong

wealth_developer_researcher
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Great explanation sir... It clears the understanding of the concepts... I have just one doubt: How are we selecting which statement to be the Null Hypothesis and which one for the Alternate Hypothesis? Because based on that and the p value, we would come to the conclusion.... Thanks :)

sumitmaiti
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HEY, @ 7:07 minutes you're telling to reject the null, but the p_value is more than the 0.05

batulkhan
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Awesome video Krish but don't forget to practice on Jupiter notebook.Thanks

sandipansarkar