section 6.3
DESCRIPTION
Section 6.3. Confidence Intervals for Population Proportions. Section 6.3 Objectives. Find a point estimate for the population proportion Construct a confidence interval for a population proportion Determine the minimum sample size required when estimating a population proportion. - PowerPoint PPT PresentationTRANSCRIPT
Section 6.3
Confidence Intervals for Population Proportions
Larson/Farber 4th ed1
Section 6.3 Objectives
Larson/Farber 4th ed2
Find a point estimate for the population proportion
Construct a confidence interval for a population proportion
Determine the minimum sample size required when estimating a population proportion
Point Estimate for Population p
Larson/Farber 4th ed3
Population Proportion The probability of success in a single trial
of a binomial experiment. Denoted by pPoint Estimate for p The proportion of successes in a sample. Denoted by
read as “p hat” number of successes in sampleˆ number in sample
xpn
Point Estimate for Population p
Larson/Farber 4th ed4
Point Estimate for q, the proportion of failures Denoted by Read as “q hat”
1ˆ ˆq p
Estimate Population Parameter…
with Sample Statistic
Proportion: p p̂
Example: Point Estimate for p
Larson/Farber 4th ed5
In a survey of 1219 U.S. adults, 354 said that their favorite sport to watch is football. Find a point estimate for the population proportion of U.S. adults who say their favorite sport to watch is football. (Adapted from The Harris Poll)
Solution: n = 1219 and x = 354
354 0.29ˆ 0402 29.0%1219
xpn
Confidence Intervals for p
Larson/Farber 4th ed6
ˆ ˆwhereˆ ˆ cpqp E p p E E zn
A c-confidence interval for the population proportion p •
•The probability that the confidence interval contains p is c.
Constructing Confidence Intervals for p
Larson/Farber 4th ed7
1. Identify the sample statistics n and x.
2. Find the point estimate
3. Verify that the sampling distribution of can be approximated by the normal distribution.
4. Find the critical value zc that corresponds to the given level of confidence c.
ˆ xpn
Use the Standard Normal Table
.̂p
5, 5ˆ ˆnp nq p̂
In Words In Symbols
Constructing Confidence Intervals for p
Larson/Farber 4th ed8
5. Find the margin of error E.
6. Find the left and right endpoints and form the confidence interval.
ˆ ˆcpqE zn
Left endpoint: Right endpoint: Interval:
p̂ Ep̂ E
ˆ ˆp E p p E
In Words In Symbols
Example: Confidence Interval for p
Larson/Farber 4th ed9
In a survey of 1219 U.S. adults, 354 said that their favorite sport to watch is football. Construct a 95% confidence interval for the proportion of adults in the United States who say that their favorite sport to watch is football.
Solution: Recall ˆ 0.290402p
1 0.290402ˆ ˆ 0.7095981q p
Solution: Confidence Interval for p
Larson/Farber 4th ed10
Verify the sampling distribution of can be approximated by the normal distribution
p̂
1219 0.290402 354 5ˆnp
1219 0.709598 865 5ˆnq
• Margin of error:
(0.290402) (0.709598)1.96ˆ ˆ 0.0251219c
pqE zn
Solution: Confidence Interval for p
Larson/Farber 4th ed11
Confidence interval:
ˆ
0.29 0.025
0.265
p E
Left Endpoint:
Right Endpoint:
0.265 < p < 0.315
ˆ
0.29 0.025
0.315
p E
Solution: Confidence Interval for p
Larson/Farber 4th ed12
0.265 < p < 0.315
( )
• 0.290.26
50.315
With 95% confidence, you can say that the proportion of adults who say football is their favorite sport is between 26.5% and 31.5%.
Point estimate
p̂p̂ E p̂ E
Sample Size
Larson/Farber 4th ed13
Given a c-confidence level and a margin of error E, the minimum sample size n needed to estimate p is
This formula assumes you have an estimate for and .
If not, use and
2
ˆ ˆ czn pqE
ˆ 0.5.qˆ 0.5p
p̂q̂
Example: Sample Size
Larson/Farber 4th ed14
You are running a political campaign and wish to estimate, with 95% confidence, the proportion of registered voters who will vote for your candidate. Your estimate must be accurate within 3% of the true population. Find the minimum sample size needed if 1.no preliminary estimate is available.
Solution: Because you do not have a preliminary estimate for use andˆ 5.0.q ˆ 0.5p p̂
Solution: Sample Size
Larson/Farber 4th ed15
c = 0.95 zc = 1.96 E = 0.03
2 21.96
(0.5)(0.5) 1067.110.
ˆ03
ˆ czn pqE
Round up to the nearest whole number.With no preliminary estimate, the minimum sample size should be at least 1068 voters.
Example: Sample Size
Larson/Farber 4th ed16
You are running a political campaign and wish to estimate, with 95% confidence, the proportion of registered voters who will vote for your candidate. Your estimate must be accurate within 3% of the true population. Find the minimum sample size needed if 2.a preliminary estimate gives .
ˆ 0.31p
Solution: Use the preliminary estimate
1 0.31 0. 9ˆ ˆ 61q p
ˆ 0.31p
Solution: Sample Size
Larson/Farber 4th ed17
c = 0.95 zc = 1.96 E = 0.03
2 21.96
(0.31)(0.69) 913.020.
ˆ ˆ03
czn pqE
Round up to the nearest whole number.With a preliminary estimate of , the minimum sample size should be at least 914 voters.Need a larger sample size if no preliminary estimate is available.
ˆ 0.31p
Section 6.3 Summary
Larson/Farber 4th ed18
Found a point estimate for the population proportion
Constructed a confidence interval for a population proportion
Determined the minimum sample size required when estimating a population proportion