STAT 101 | Probability Distributions | f(x) is given (1/2)

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Content :
00:00 introduction
01:57 Discrete Random Variables
02:11 ? what the value of C
04:42 Expectation
08:06 Variance
09:36 Continuous Random Variables
10:04 ? what the value of C
11:56 Expectation and Variance
13:09 Probability function (Discrete)
18:29 Probability function (Continuous)
21:43 Tricks
21:59 Trick 1
24:22 Trick 2
29:11 Trick 3

ان شاء الله القناه الفتره الجايه هتقدم منهج كليه علوم جامعه عين شمس للفرقه الاولي و ان شاء الله الشرح ينال اعجابكم لانه هيبقي السبب ف ان لقناه تكمل او ل يمكن بدات بحاجه بسيطه بس ان شاء الله ع حسب تقييمكم هيبقي ان اكمل او لا و ان شاء الله القناه محتواها يعجبكم و يفيدكم و يبقي اثر طيب
:)
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Population
Sample
Statistic
Sampling distribution
Random sample
sample distribution
independent normally distributed
expectition
mean
variance
probability
What kinds of inferential statistics?
estimates?
Find 95% confidence interval for μ ?
(Difference between 2 means)
Find 95% confidence for p? (Proportion=fraction=percentage=probability)
test of hypothesis
estimation theory
Hypothesis
Critical region
Testing on μ
Testing on p
Testing on p − p
Testing on equality of 2 variances
sample variance
Regression and correction
correction cofficient
population correction
simple coefficient
multiple correlation
propert of r
Testing th population correlation

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