Statistical Analysis of Binomial Distribution and Normal Distribution, Study notes of Mathematics

An analysis of binomial distribution and normal distribution using numerical data. The document calculates the mean, variance, standard deviation, and probabilities of different outcomes for both distributions. It also compares the results of normal distribution without correction and with correction.

Typology: Study notes

2014/2015

Uploaded on 07/26/2015

a.goyal
a.goyal 🇬🇧

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bg1
n 12
p 0,44
q 0,56
mean = np 5,28
variance =npq 2,9568
std dev =(npq)^0.5 1,719535
Now as we see that the np is greater than 5 but npq is less than 5 so we cannot normal distribution
r NcR P^r
0 1 1
1 12 0,44
2 66 0,1936
3 220 0,085184
4 495 0,03748096
5 792 0,0164916224
6 924 0,0072563139
7 792 0,0031927781
8 495 0,0014048224
9 220 0,0006181218
10 66 0,0002719736
11 12 0,0001196684
12 1 5,265409077678E-005
Part a r NcR P^r
6 924 0,0072563139
7 792 0,0031927781
8 495 0,0014048224
9 220 0,0006181218
10 66 0,0002719736
11 12 0,0001196684
12 1 5,265409077678E-005
Part b r NcR P^r
0 1 1
1 12 0,44
2 66 0,1936
3 220 0,085184
4 495 0,03748096
5 792 0,0164916224
pf3
pf4
pf5
pf8

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Now as we see that the np is greater than 5 but npq is less than 5 so we cannot normal distribution

r NcR P^r

Part b r NcR P^r

X Y X*Y revenue Last Min Customers Probability EV 0 0,45 0 1425 1 0,3 0,3 490 2 0,15 0,3 552, 3 0,1 0,3 615

a 750

Case 1 all three released now and no last minute customer. Assumption: All three ticket that w

revenue 750

Case 2 All three released and 1 last minute customer

Revenue 600

Case 3 All three released and 2 last min customer Revenue 450

Case 4 All three released and 3 last min customers Revenue 300

c 2 released 1 reserved

642,5 0,6666666667 642,5 - d released reserved opportunity cost 0 3 0 0 1 2 150 385 2 1 300 492, 3 0 450 300

All three ticket that were released are sold