Introduction to Probability and Statistics for Engineers and Scientists

(Sean Pound) #1

6.3The Central Limit Theorem 207


Enter the probabilities and number of random
variables to be summed. The output gives the mass
function of the sum along with its mean and
variance.

0 5 10 15
i

0.15
0.10
0.05
0.00

p(i)

Central Limit Theorem

Start

Quit

.25
.15
.1
.2
.3

P0
P1
P2
P3
P4
n = 3

(b)

Enter the probabilities and number of random
variables to be summed. The output gives the mass
function of the sum along with its mean and
variance.

051015
i

0.15
0.10
0.05
0.00

p(i)

Central Limit Theorem

Start

Quit

.25
.15
.1
.2
.3

P0
P1
P2
P3
P4
n = 5

(c)

Mean = 10.75
Variance = 12.6375

20

FIGURE 6.2 (continued)

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