fied couples who have two or more personality preferences in common. Let, proportion of all married couples who have no personality preferences in common. USE SALT (a) Find a 90% confidence interval for P₁ - P₂. (Use 3 decimal places.) lower limit upper limit (b) Explain the meaning of the confidence interval in part (a) in the context of this problem. Does the confidence interval contain all positive, all negat negative numbers? What does this tell you (at the 90% confidence level) about the proportion of married couples with two or more personality prefere with the proportion of married couples sharing no personality preferences in common? We can not make any conclusions using this confidence interval

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A random sample of 388 married couples found that 284 had two or more personality preferences in common. In another random sample of 560 married couples, it was found that only 24 had no preferences in common. Let \( p_1 \) be the population proportion of all married couples who have two or more personality preferences in common. Let \( p_2 \) be the population proportion of all married couples who have no personality preferences in common.

**(a)** Find a 90% confidence interval for \( p_1 - p_2 \). (Use 3 decimal places.)

- Lower limit: [Input box]
- Upper limit: [Input box]

**(b)** Explain the meaning of the confidence interval in part (a) in the context of this problem. Does the confidence interval contain all positive, all negative, or both positive and negative numbers? What does this tell you (at the 90% confidence level) about the proportion of married couples with two or more personality preferences in common compared with the proportion of married couples sharing no personality preferences in common?

- [ ] We can not make any conclusions using this confidence interval.
- [ ] Because the interval contains only negative numbers, we can say that a higher proportion of married couples have no personality preferences in common.
- [ ] Because the interval contains both positive and negative numbers, we can not say that a higher proportion of married couples have two or more personality preferences in common.
- [ ] Because the interval contains only positive numbers, we can say that a higher proportion of married couples have two or more personality preferences in common.
Transcribed Image Text:A random sample of 388 married couples found that 284 had two or more personality preferences in common. In another random sample of 560 married couples, it was found that only 24 had no preferences in common. Let \( p_1 \) be the population proportion of all married couples who have two or more personality preferences in common. Let \( p_2 \) be the population proportion of all married couples who have no personality preferences in common. **(a)** Find a 90% confidence interval for \( p_1 - p_2 \). (Use 3 decimal places.) - Lower limit: [Input box] - Upper limit: [Input box] **(b)** Explain the meaning of the confidence interval in part (a) in the context of this problem. Does the confidence interval contain all positive, all negative, or both positive and negative numbers? What does this tell you (at the 90% confidence level) about the proportion of married couples with two or more personality preferences in common compared with the proportion of married couples sharing no personality preferences in common? - [ ] We can not make any conclusions using this confidence interval. - [ ] Because the interval contains only negative numbers, we can say that a higher proportion of married couples have no personality preferences in common. - [ ] Because the interval contains both positive and negative numbers, we can not say that a higher proportion of married couples have two or more personality preferences in common. - [ ] Because the interval contains only positive numbers, we can say that a higher proportion of married couples have two or more personality preferences in common.
Expert Solution
Step 1: Part a


Given information:
Sample 1:
- Sample size (): 388
- Couples with two or more personality preferences in common in Sample 1 (): 284

Sample 2:
- Sample size (): 560
- Couples with no personality preferences in common in Sample 2 (): 24

We'll calculate the sample proportions ( and ) for both samples:



Now, let's calculate the critical value () for a 90% confidence interval. For a 90% confidence interval, .

Next, we'll calculate the standard error of the difference in proportions ():


Calculating :


Now, let's calculate the margin of error ():


Now, we can construct the confidence interval for :

Lower Limit:

Upper Limit:

The 90% confidence interval for is approximately (0.6108, 0.7652).


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