Probability Distribution:Binomial, Poisson and Normal Distribution |Dr. Ruchi Khandelwal

There are various types of theoretical frequency distribution but in statistical analysis three types of distribution are mainly used ,described in this video. watch video of practical problems also
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Thanks so much mam bhut ache se smjh aya

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Really thankful dear mem 👏
M com student 'concept fully clear

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Awesome Mam 💯👌👌👌👌👍

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Thank u mam..great teaching..🙏❤

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Brilliantly explained

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Thank you so much ma'am 🥰❤️

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Nice explanation

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This is very useful in exam time thank you mam

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Easy and perfect explanation . Thanku mam👍🏻

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Ma'am, please share a video of practical questions of normal distribution .

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A khandelwal learning from khandelwal 🔥🔥🤓
Great lecture ma'am 🔥🔥

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Very excellent💯 explanation 👍grate 🔥🔥

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Could you give knowledge about moment of the probability distribution and how to calculate?

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Maam how to solv the problem regarding in this topics and which type of questions are asked

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Sorry but text on the screen can cover maximum than half
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very nicely explain , thank you

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sound quality is not good.

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Bahut badiya

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Please explain about the curve with std dev 1,2,3...

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What is best method to calculate mission reliability of repairable system like aeroplane or cars.
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Probability
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Excellent, brilliant
kati Jahar
Detailed explanation in a very short time period
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Mam is topic se related qus be krvaya

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Great 👍

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Differance between Normal distribution and Standard Normal distribution

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Tomorrow is my exam day
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Maam aap hajar sal jio

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Ma'am kya aap in notes ki pdf share kar skhti h .

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tnq mam

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Poisson dis mein e ka kia kam hain?

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Love from Pakistan

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Mam y curve x axis ko touch kyo nahi krta

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This curve has asymptotic property(anantsparshi) . That means ye kabhi touch nahi kerte but Anant me ( at infinite) touch kerte hui dikhti hai but hoti nahi hai .

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Thanks mam ❤️

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Your session was amazing, understood well.

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Mam Video Colity badhao text thik se nahi dhikh rahe he

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Maam in last distribution aapne examples nhi diye

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steps involved in testing of hypothesis and standard error how it is calculated in different type of hypothesis testing

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Plzz esai hindi mai bata dijiye

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Send me the solution of
An ice-cream parlour receives a customer at an average rate of 4 per minute. If the number
of customers received by the parlour follows a Poisson distribution, what is the approximate
probability that 16 customers will be coming to the parlour in a particular 4-minute period
on a given day?

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On 9460145610

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P(x=4) = 0.1952
P(x

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👌👌👌👌👍

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Fitting of binomial to bataya hi nhi mam

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Formula to smjhao binomial ka

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Watch on 1.75 x thanks me later

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Some part is deducted

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Poor explanation

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I like to enjoy study, I got bored 🥱😴

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