Mathematics: Solve for x ....................

Solve for x .................... - id9648700, st23pgardner

angel234wilcox

10.06.2021

a) 95% confidence interval for the proportion of respondents who say the Internet has been a good thing for them personally:

$0.8801\leq \pi \leq 0.9199$

b) 95% confidence interval for the proportion of respondents who say the Internet has strengthened their relationship with family and friends:

$0.6386\leq \pi \leq 0.7014$

c) 95% confidence interval for the proportion of Internet users who say online groups have helped solve a problem:

$0.5267\leq \pi \leq 0.5933$

d) margin of error for the interval estimates in parts (a) e=0.02, (b) e=0.05, and (c) e=0.06.

Step-by-step explanation:

a) We have a sample proportion of 90% (p=0.90).

The sample size is n=857.

For a 95% CI, the z-value is z=1.96.

The standard deviation for the proportion is:

$\sigma_p=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.9*0.1}{857}}=0.0102$

Then the upper and lower limit of the 95% CI is:

$UL=p+z\cdot \sigma_p=0.9+1.96*0.0102=0.9+0.0199=0.9199\\\\\\LL=p-z\cdot \sigma_p=0.9-1.96*0.0102=0.9-0.0199=0.8801$

b) We have a sample proportion of 67% (p=0.67).

The sample size is n=857.

For a 95% CI, the z-value is z=1.96.

The standard deviation for the proportion is:

$\sigma_p=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.67*0.33}{857}}=0.0160$

Then the upper and lower limit of the 95% CI is:

$UL=p+z\cdot \sigma_p=0.67+1.96*0.0160=0.67+0.0314=0.7014\\\\\\LL=p-z\cdot \sigma_p=0.67-1.96*0.0160=0.67-0.0314=0.6386$

c) We have a sample proportion of 56% (p=0.56).

The sample size is n=857.

For a 95% CI, the z-value is z=1.96.

The standard deviation for the proportion is:

$\sigma_p=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.56*0.44}{857}}=0.0170$

Then the upper and lower limit of the 95% CI is:

$UL=p+z\cdot \sigma_p=0.56+1.96*0.0170=0.56+0.0333=0.5933\\\\\\LL=p-z\cdot \sigma_p=0.56-1.96*0.0170=0.56-0.0333=0.5267$

For a), the relative margin of error is:

$e=\frac{z\sigma_p}{p} =\frac{0.0199}{0.9}= 0.02$

For b), the relative margin of error is:

$e=\frac{z\sigma_p}{p} =\frac{0.0314}{0.67}= 0.05$

For c), the relative margin of error is:

$e=\frac{z\sigma_p}{p} =\frac{0.0333}{0.56}= 0.06$

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