Binomial Distribution|Probability Distribution|Statistics|BBA|BCA|BCOM|Dream Maths

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Binomial Distribution|Probability Distribution|Statistics|BBA|BCA|BCOM|Dream Maths

Chapter Probability Playlist

#Binomialdistribution#probabilitydistribution#Statistics#bba#bca#bcom#btech#Dreammaths

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Mam I'm from DU and I humbly request you to complete this video series of probability before 26th December as we are having our stats exam on 27th and this is a part of our syllabus . At last thanks for yr other videos ❤🙌

chanda
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ANS.-HW.1 - 0.9986
ANS.- HW.2- .282
Thanku so much mam..Very well explained 😊🎉

deepangoyal
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Superb 🎉🎉🎉🎉🎉 .. teaching style super. ...love from odisha ❤

santidattamohanty
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1st Homework Answer -
P(x≥1) = 728/729 = 0.99

2nd HW answer -
P(x=12) = (9/10)^12

sanskarshukla
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you are excellent mam. please continue ur series. t test, f testchi square test, one way annova.. please cover these parts mam. pls

gyaneswarimishra
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well explained mam. you are an angel. god bless you always.

engineeringstuden
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your teaching beahviour are very Great mam

amankumar-igfe
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Kal mera test hei mam mujhe dar lag rha tha kafi per aab sab clear ho gaya thanku

MEGHASINGH-uliu
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mam 2nd question me kse pta chla ki yeh probability distributuion ka question h ...?
pls reply as early you can.pls

YogeshKumar-vesx
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Mam please upload videos related to hypothesis testing in statistics...

harshrai
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Ans 1.H.W =0.9986
Ans2.H.W=0.2824
Madam you are very fast teaching and very thanks for clearing the concept i will understand better but derivation or kara dejiye madam please ❤❤❤

nareshdhakad
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Ma'am Probability and Probability Distributions mein Neche wale topic dekh nhi rhi hn kya aap ke Playlist Bana sakte ho DU Bcom program business statistics ke naam se please Wednesday Mera paper hn or yhe last chapter bacha hn preparation ke liye

Theory and approaches to probability; Probability Theorems: Addition and Multiplication; Conditional probability and Bayes' Theorem

Expectation and variance of a random variable: Discrete Probability distributions: Binomial and Poisson (Properties and Applications). Normal distribution: Properties of Normal curve; Computation of Probabilities and Applications.

Sumit_bansal
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You make every concept so easy, i genuinely respect you, love from Pakistan💟

azrajamal
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Test of significance (F test, T test, Z test ka bhi video bana dijiye ma'am

gulshansinha
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thanks mam it was worth to investment of time

gamingu
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P(x=0)=0.27
P(x=6)=12.50
P(X≥6)=2.14
P(x≤6)=-2.572

Sagarikachoudhury
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Mam please make a dedicated video on vector space

mfdsvpb
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Very good Mam
you are so great
from Pakistan

AbdulRahman-ypoy
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Mam please essme se important wala krwa digiye na, sem5 dse paper
🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Sample space, probability axioms, real random variables
(discrete and continuous), cumulative distribution
function, probability mass/density functions, mathematical expectation, moments, moment
generating function, characteristic function, discrete
distributions: uniform, binomial, Poisson, continuous
distributions: uniform, normal, exponential.
Chebyshev’s inequality, statement and interpretation of
(weak) law of large numbers, Central Limit theorem for independent and identically distributed random
variables with finite variance.

Subh-ash
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Ma'am hyper Matric distribution ka video banao pls. 👈🙏

poonamkumarprajapati