Math 243 Group Project - Probability Distribution, Mean, Standard Deviation, Binomial Distribution, Sample Proportion

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Added on  2023/05/28

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This Math 243 group project covers topics such as probability distribution, mean, standard deviation, binomial distribution, and sample proportion. It includes tables and calculations for each problem.
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MATH 243 GROUP PROJECT
[DATE]
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Problem 1
Probability distribution
(a) Mean μ= xP(x )= ( 02 % ) + ( 18 % )+ (239 % )+ (335 % ) + ( 416 % )=2.55
Variance σ 2= x2P( x )μ2=7.35 ( 2.55 )2=0.8475
Standard Deviation = sqrt (Variance) = 0.8475=0.9206
(b) Percentage probability of getting 3 or better = 35% +16% = 51%
Percentage probability of getting 2.5 or better = 35% +16% = 51%
Problem 2
(a) Let a is the missing entry
Further,
a= 60045 %
55 % =491
Hence, the missing entry would be 491.
(a) The complete table
μx= xP( x )
μx= ( 6000.55 ) + ( 4910.45 )
μx=550.95
Hence, the complete table is shown below.
X units 600 491
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Probability 55% 45%
Problem 3
A fair coin has tossed 6 times which indicates that possible outcomes would be 2^6 = 64
Let x is the variable which has highest count of heads in row occurring in 6 tosses.
(a) Probability distribution table
(b) The value of μxσ x
The value of μx
The value of σ x
Now,
σ x= 1.5=1.2247
Problem 4
(a) Mean and standard deviation of sample heads of count x for 250 tosses
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Binomial distribution
N = 250
P = ½ = 0.5
Mean = N*P = 0.5 *250 = 125
Standard deviation = sqrt (P*(1-P)*N) = sqrt(0.5*0.5*250) = 7.9
(b) Difference d between the head counts X and expected head counts
Expected head counts = E(H) = ½ *250 = 125
Hence, difference = 140 – 125 = 15
(c) % probability that X would fall at least d ways from expected cunts in positive direction
Positive direction = P(X>= 140)
¿ 1P ( X <140 )=1P (Z ( 140125 )
7.9 )=1P ( Z< 1.89 )
From standard normal table P ( Z <1.89 )=0.97
P=10.97=0.03
(d) % probability that X would fall at least d ways from expected cunts in either direction
P=P ( X< ( 12515 ) ) + P ( X >140 )=P (Z< 110125
7.9 )+0.0 3
P=0.03+0.03=0.06
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Problem 5
(a) The mean and standard deviation of the sample proportion p of heads
Mean == 0.5
Standard deviation = sqrt (0.5 * 0.5 /250) = 0.0316
(b) The Difference between head proportion and expected head counts
The proportion of head from test = 140/250 = 0.56
Expected head count = 125/250 = 0.5
Difference = 0.56 – 0.5 = 0.06
(c) % probability that head proportion would fall at least d away from expected in
positive direction
P ( 0.5d< p< 0.5+d )=P ( p0.5
0.0316 > d
0.0316 )=0.0 22 %
(d) % probability that head proportion would fall at least d away from expected in either
direction
P ( 0.5d< p< 0.5+d ) =P ( d
0.0316 < p0.5
0.0316 > d
0.0316 )=20.025=0.055 %
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