In: Statistics and Probability
A random sample of size n = 130 is taken from a
population with a population proportion p = 0.58.
(You may find it useful to reference the z
table.)
a. Calculate the expected value and the standard error for the sampling distribution of the sample proportion. (Round "expected value" to 2 decimal places and "standard error" to 4 decimal places.)
b. What is the probability that the sample proportion is between 0.50 and 0.70? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
c. What is the probability that the sample proportion is less than 0.50? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
Solution:
Given that,
n = 130
= 0.58
1 -
= 1 - 0.58 = 093
a )
=
= 0.542
=
( 1 -
) / n
=
0.58* 0.42 / 130
= 0.0433
= 0.0433
P( 0.50 <
< 0.70 )
b )P( 0.50 - 0.58 / 0.0433 ) < (
-
/
) < ( 0.70 - 0.58 / 0.0433 )
P ( - 0.08 /0.0433< z < 0.12 / 0.0433)
P ( - 1.85 < z < 2.77 )
P ( z < 2.77 ) - p ( z < -1.85 )
Using z table
= 0.9972 - 0.0322
= 0.9650
Probability = 0.9650
c ) P (
< 0.50 )
P (
-
/
) < ( 0.50 - 0.58 / 0.0433 )
P ( z < - 0.08 / 0.0433 )
Using z table
P ( z < -1.85 )
=0.0322
Probability = 0.0322