In the planning stage, a sample proportion is estimated as pˆp^
= 72/80 = 0.90. Use this information to compute the minimum sample
size n required to estimate p with 95% confidence
if the desired margin of error E = 0.05. What happens to
n if you decide to estimate p with 90%
confidence? (You may find it useful to reference the z
table. Round intermediate calculations to at least 4 decimal places
and "z" value to 3 decimal places. Round up your answers
to the nearest whole number.)
Solution :
Given that,
=
0.90
1 -
= 1 - 0.90 = 0.1
margin of error = E = 0.05
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z
/2
= Z0.025 = 1.96 ( Using z table ( see the 0.025 value in standard
normal (z) table corresponding z value is 1.96 )
Sample size = n = (Z
/2
/ E)2 *
* (1 -
)
= (1.96 / 0.05)2 * 0.90 * 0.1
= 138.29
Sample size = 138
b.
At 90% confidence level z
= 1 - 90%
= 1 - 0.90 =0.10
/2
= 0.05
Z
/2
= Z0.05 = 1.65 ( Using z table ( see the 0.05 value in standard
normal (z) table corresponding z value is 1.65 )
Sample size = n = (Z
/2
/ E)2 *
* (1 -
)
= (1.65 / 0.05)2 * 0.90 * 0.10
=98.01
Sample size = 98
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