Respuesta :

Answer:

n = 50

Step-by-step explanation:

The rules for determining if a sample proportion is normally distributed are:

1. np >= 10

2. n(1-p)>=10

If both of these conditions are met then the sample is normally distributed.

We are given p = 4/5 or 0.80.

So, n(0.80)>=10

Step 1. We must determine what the lowest value n can be to make this statement true.

Using the guess and check method we find 13(0.80)>=10

Step 2. We must determine what the lowest value n can be to make this statement true. n(1 - 0.80)>=10.

Using the guess and check method we find 50(1-0.80)>=10

Thus the lowest value n can be that meets both requirements is 50.

Answer:

The smallest value of [tex]n[/tex] for which the distribution will be normal is 50.

Step-by-step explanation:

Given information:

The value of probability [tex]p=4/5[/tex]

As, for the smallest value of n that satisfies the requirement for normally distributed probability one need to satisfy the two statements:

(1) [tex]n(p)\geq 10[/tex]

(2) [tex]n(1-p)\geq 10[/tex]

If, both of these condition is satisfied then the sample will be normally distributed:

As, [tex]p=0.80[/tex]

So,

[tex]n(0.80)\geq 10\\n\geq 12.5[/tex]

Now, we need to guess a number grater then 12.5 which satisfy the second statement:

As we choose 50 as our guess

So,

[tex]n(1-p)\geq 10\\50(1-0.80)\geq 10[/tex]

Hence, the above condition is valid for n=50

Hence, the smallest value of n for which the distribution will be normal is 50.

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