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Styles First we will learn how to evaluate binomial distribution with the help of Excel. Lets flip a coin n times and count
www that is not the topic here. Now that we learned that, we will evaluate probability of getting 1 coin. Click on cell B6 an
and type=BINOMDIST(0,2,1/2.FALSE). Click on enter. The second parameter here means we are flipping 2 coins. Click on cell B10
type Esqrt(e14). Exercises Exercise 1. Make the binomial probability distribution table for n=4 and p=1/2. Exercise 2. Make t
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Exercise 1.

Make the binomial probability distribution table for n=4 and p=1/2.

4 n
0.5 p
cumulative
X P(X) probability
0 0.06250 0.06250
1 0.25000 0.31250
2 0.37500 0.68750
3 0.25000 0.93750
4 0.06250 1.00000
1.00000
2.000 expected value
1.000 variance
1.000 standard deviation

Exercise 2.

Make the binomial probability distribution table for n=5 and p=1/2.

5 n
0.5 p
cumulative
X P(X) probability
0 0.03125 0.03125
1 0.15625 0.18750
2 0.31250 0.50000
3 0.31250 0.81250
4 0.15625 0.96875
5 0.03125 1.00000
1.00000
2.500 expected value
1.250 variance
1.118 standard deviation

Exercise 3.

Make the binomial probability distribution table for n=6 and p=1/3.

6 n
0.3333 p
cumulative
X P(X) probability
0 0.08779 0.08779
1 0.26337 0.35117
2 0.32922 0.68038
3 0.21948 0.89986
4 0.08230 0.98217
5 0.01646 0.99863
6 0.00137 1.00000
1.00000
2.000 expected value
1.333 variance
1.155 standard deviation

Exercise 4.

Make the binomial probability distribution table for n=8 and p=1/3.

8 n
0.3333 p
cumulative
X P(X) probability
0 0.03902 0.03902
1 0.15607 0.19509
2 0.27313 0.46822
3 0.27313 0.74135
4 0.17071 0.91206
5 0.06828 0.98034
6 0.01707 0.99741
7 0.00244 0.99985
8 0.00015 1.00000
1.00000
2.667 expected value
1.778 variance
1.333

standard deviation

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