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Chapter 22 – Comparing Two Proportions Chapter 22 – Comparing Two Proportions

Chapter 22 – Comparing Two Proportions - PowerPoint Presentation

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Chapter 22 – Comparing Two Proportions - PPT Presentation

Difference Between Proportions Sometimes we want to see if there is a significant difference between independent groups Control group vs treatment group or placebo group Men vs women Last year vs this year ID: 652387

difference group depression proportions group difference proportions depression find disease cardiac conditions high school independent distribution interval patients sampling

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Slide1

Chapter 22 – Comparing Two ProportionsSlide2

Difference Between Proportions

Sometimes we want to see if there is a significant difference between independent groups.

Control group vs. treatment group or placebo group

Men vs. women

Last year vs. this yearSlide3

Assumptions and Conditions

Indepenence

Randomization (within each group)

10% Condition (within each group)

Independent Group Assumption

2 groups must be independent of

each other

if we compare the same group before and after some treatment, variance is affected and formulas won’t apply

Sample Size

Success/Failure condition (within each group)Slide4

Sampling Distribution

We know that for large enough samples, each of our proportions has a roughly Normal sampling distribution. So does the difference of proportions.

Sampling Distribution Model for a Difference Between Two Independent ProportionsSlide5

Two-Proportion Z-Interval

When conditions are met, we can find a confidence interval for the difference of two proportions, p

1

–p

2

:Slide6

Example: HS graduation by gender

In October 2000 the US Department of Commerce reported the results of a large-scale survey on high school graduation. Researchers contacted more than 25,000 Americans aged 24 years to see if they had finished high school; 84.9% of the 12,460 males and 88.1% of the 12,678 females indicated they had high school diplomas.

Are the assumptions and conditions satisfied?

Create a 95% confidence interval for the difference in graduation rates between males and females.

Does this provide evidence that girls are more likely than boys to complete high school?

Example from

DeVeaux

, Intro to StatsSlide7

Testing for a Difference between Proportions

If we want to see if there is a statistically significant difference between p

1

and p

2

, we could check to see if p

1

= p

2.But what we usually do is check to see if the difference is zero: H0: p

1

– p

2

= 0 H

A

: p

1

– p

2

0

H

A

: p

1

– p

2

>

0

H

A

: p

1

– p

2

<

0Slide8

Pooling

Since we’re assuming in our null hypothesis that p

1

and p

2

are the same, we can pool the 2 groups together:

When we don’t have the # of successes in each group, we can use:

Slide9

Two-Proportion Z-Test

Conditions are the same as for 2-prop CI

We are testing : H

0

: p

1

– p

2

= 0Then we find:And find the standard error:Slide10

Two-Proportion Z-Test Continued

We find the test statistic:

And then use this statistic to find our P-valueSlide11

Example: Depression and Cardiac Disease

A study published in the

Archives of General Psychiatry

in March 2001 examined the impact of depression on a patient’s ability to survive cardiac disease. Researchers identified 450 people with cardiac disease, evaluated them for depression and followed them for 4 years. Of the 361 patients with no depression, 67 died. Of the 89 patients with major or minor depression, 26 died. Among people who suffer from cardiac disease, are depressed patients more likely to die than non-depressed ones?

Example from

DeVeaux

, Intro to Stats