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Confidence Intervals for Population Proportions 1 Section 6.3
18

Section 6.3

Mar 19, 2016

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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 Presentation
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Page 1: Section 6.3

Confidence Intervals for Population Proportions

1

Section 6.3

Page 2: Section 6.3

Section 6.3 Objectives

2

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

Page 3: Section 6.3

Point Estimate for Population p

3

Population ProportionThe probability of success in a single trial

of a binomial experiment. Denoted by pPoint Estimate for pThe proportion of successes in a sample. Denoted by

read as “p hat”

number of successes in sampleˆ number in samplexp n

Page 4: Section 6.3

Point Estimate for Population p

4

Point Estimate for q, the proportion of failures

Denoted by Read as “q hat”

1ˆ ˆq p

Estimate Population Parameter…

with Sample Statistic

Proportion: pp̂

Page 5: Section 6.3

Example: Point Estimate for p

5

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 = 354354 0.29ˆ 0402 29.0%1219

xp n

Page 6: Section 6.3

Confidence Intervals for p

6

ˆ ˆwhereˆ ˆ cpqp E p p E E z n

A c-confidence interval for the population proportion p •

•The probability that the confidence interval contains p is c.

Page 7: Section 6.3

Constructing Confidence Intervals for p

7

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 xp n

Use the Standard Normal Table

.̂p

5, 5ˆ ˆnp nq p̂

In Words In Symbols

Page 8: Section 6.3

Constructing Confidence Intervals for p

8

5. Find the margin of error E.

6. Find the left and right endpoints and form the confidence interval.

ˆ ˆcpqE z n

Left endpoint: Right endpoint: Interval:

p̂ Ep̂ E

ˆ ˆp E p p E

In Words In Symbols

Page 9: Section 6.3

Example: Confidence Interval for p

9

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

Page 10: Section 6.3

Solution: Confidence Interval for p

10

Verify the sampling distribution of can be approximated by the normal distribution

1219 0.290402 354 5ˆnp

1219 0.709598 865 5ˆnq

• Margin of error:(0.290402) (0.709598)1.96ˆ ˆ 0.0251219c

pqE z n

Page 11: Section 6.3

Solution: Confidence Interval for p

11

Confidence interval:

ˆ0.29 0.0250.265

p E

Left Endpoint:

Right Endpoint:

0.265 < p < 0.315

ˆ0.29 0.0250.315

p E

Page 12: Section 6.3

Solution: Confidence Interval for p

12

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

Page 13: Section 6.3

Sample Size

13

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

Page 14: Section 6.3

Example: Sample Size

14

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

Page 15: Section 6.3

Solution: Sample Size

15

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.

Page 16: Section 6.3

Example: Sample Size

16

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

Page 17: Section 6.3

Solution: Sample Size

17

c = 0.95 zc = 1.96 E = 0.032 21.96(0.31)(0.69) 913.02

0.ˆ ˆ

03czn 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

Page 18: Section 6.3

Section 6.3 Summary

18

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