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(22.27) Exercise 22.25 describes a Harris Poll survey of smokers in which 848 of

ID: 3232361 • Letter: #

Question

(22.27) Exercise 22.25 describes a Harris Poll survey of smokers in which 848 of a sample of 1010 smokers agreed that smoking would probably shorten their lives. Harris announces a margin of error of ±3 percentage points for all samples of about this size. Opinion polls announce the margin of error for 95% confidence.

Step 1:
What is the actual margin of error (in percent) for the large-sample confidence interval from this sample?

1.15%

Step 2:
The margin of error is largest when pˆ = 0.5.
What would the margin of error (in percent) be if the sample had resulted in pˆ = 0.5?
Give your answer to 2 decimal places.
Fill in the blank:

Step 3:
Why do you think that Harris announces a ±3% margin of error for all samples of about this size?

6% 2.26% 3%

1.15%

Step 2:
The margin of error is largest when pˆ = 0.5.
What would the margin of error (in percent) be if the sample had resulted in pˆ = 0.5?
Give your answer to 2 decimal places.
Fill in the blank:

Step 3:
Why do you think that Harris announces a ±3% margin of error for all samples of about this size?

Because the margin of error for samples of about this size is no more than the announced margin of error. Because the margin of error for samples of about this size is no less than the announced margin of error. Because the large-sample margin of error from a single sample is not accurate. Because the confidence level from the announced margin of error is closer to the actual confidence level than the one computed from a single sample

Explanation / Answer

Solution:

Step 1: b) 2.26%

Given x = 848, n = 1010
so p = x/n = 848/1010 = 0.8396
here = 95% or 0.05
Critical z-value = Z/2 = Z0.025 = 1.96

Standard error SE = (p * (1-p)/n)
= ((424/505 * 81/505) /1010) = 0.0115
Margin of Error E = Z/2 * SE
= Z/2 * (p * (1-p)/n) = 1.96 * 0.0115
= 0.02254 or 2.26%
Step 2:

Standard error SE = (p * (1-p)/n)
= (0.5* 0.5 /1010)
= 0.0157
Margin of Error E = Z/2 * SE
= Z/2 * (p * (1-p)/n)
= 1.96 * 0.0157
= 0.030772
a) Because the margin of error for samples of about this size is no more than the announced margin of error.