x

Statistical Distribution

The Binomial Distribution

\(\(P(X=r)=\begin{pmatrix}n \\r\end{pmatrix}p^r(1-p)^{n-r}\)\)
Where:
- \(X\) is the description of the random variable
- \(p\) is the probability
- \(n\) is the number of trials

Cumulative Probabilities

Using \(X\sim B(20,0.4)\)
1. \(P(X\leq7)=0.4159\)
2. \(P(X<6)=P(X\leq5)=0.1256\)
3. \(P(X\geq15)=1-P(X\leq14)=0.0016\)
4. \(P(6<X\leq10)=P(X\leq10)-P(X\leq6)\)
5. \(P(X>20)=1-P(X\leq20)\)
6. \(P(20<X<30)=P(X\leq29)-P(X\leq20)\)

Dealing with Probability Ranges

a. Prob that spinner lands on red is 0.3
Jane does 12 spins
Find the probability she gets at least 5 reds. = 0.276

b. Probability of winning a prize is < 0.05. Each member of the class will have 12 spins.
How many reds are needed to win? - 7 reds (gives probability of 0.0386)

Probability ranges example 2

20 exams at the end of the year
pass rate for each exam is 0.45.
exam administrators want a certain number of exams to be passed to continue at school.
How many test should students have to pass for the pass rate to be 90%.


Lower bound: 6
Upper bound: 20
Numtrial: 20
Prob: 0.45
=
0.94 (works)


Lower bound: 7
Upper bound: 20
Numtrial: 20
Prob: 0.45
=
0.87 (doesnt work

EX6c Q7

a. 13/50
b. 28/50

EX6c Q8

a. k=1
b. r=9
c. 0.98

EX6c Q9
  1. Binomial Distribution
  2. 0.1503
  3. s= (if s=7, then prob=0.0106 (too big))
EX6c Q10
  1. 0.28 (lower = 0, upper = 1)
  2. 0.1036 (lower = 5, upper=50)
  3. d=5 because 5-50 prob is 0.10 (and when d=6, prob = 0.0377 which is when the factory stops so it needs to be GREATER than 5)
Left-click: follow link, Right-click: select node, Scroll: zoom
x