In: Statistics and Probability
1) We wish to estimate what percent of adult residents in a certain county are parents. Out of 600 adult residents sampled, 270 had kids. Based on this, construct a 90% confidence interval for the proportion p of adult residents who are parents in this county. Provide the point estimate and margin of error. Give your answers as decimals, to three places.
P= __ ± __
2) You measure 36 textbooks' weights, and find they have a mean
weight of 57 ounces. Assume the population standard deviation is
5.6 ounces. Based on this, construct a 99% confidence interval for
the true population mean textbook weight.
Give your answers as decimals, to two places
__ < μ < __
3) You measure 49 dogs' weights, and find they have a mean
weight of 53 ounces. Assume the population standard deviation is
9.2 ounces. Based on this, determine the point estimate and margin
of error for a 90% confidence interval for the true population mean
dog weight.
Give your answers as decimals, to two places.
μ= __ ± __ ounces
Solution :
1) Given that,
n = 600
x = 270
Point estimate = sample proportion = = x / n = 270 / 600= 0.45
1 - = 1 - 0.45 = 0.55
At 90% confidence level
= 1 - 90%
=1 - 0.90 =0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.645 (((0.45 * 0.55) / 600 )
= 0.033
A 90% confidence interval for population proportion p is ,
± E
= 0.45 ± 0.033
= ( 0.417, 0.483 )
2) Given that,
Point estimate = sample mean =
= 57 ounces
Population standard deviation =
= 5.6 ounces
Sample size = n = 36
At 99% confidence level
= 1 - 99%
= 1 - 0.99 =0.01
/2
= 0.005
Z/2
= Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 5.6 / 36
)
= 2.40
At 99% confidence interval estimate of the population mean is,
- E <
<
+ E
57 - 2.40 < < 57 + 2.40
( 54.60 <
< 59.40 )
3) Given that,
Point estimate = sample mean =
= 53 ounces
Population standard deviation =
= 9.2 ounces
Sample size = n = 49
At 90% confidence level
= 1 - 90%
= 1 - 0.90 =0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645
Margin of error = E = Z/2
* (
/n)
= 1.645 * ( 9.2 / 49
)
= 2.16
At 90% confidence interval estimate of the population mean is,
± E
53 ± 2.16
( 50.84, 55.16 )