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antoniya [11.8K]
3 years ago
15

Sue and Javier are working on a statistics project to estimate the proportion of students at their school who have a pet dog. Su

e selects a random sample of 81 students from the 2,400 students at their school, and Javier selects a separate random sample of 64 students. They will both construct a 90 percent confidence interval from their estimates. Consider the situation in which the sample proportion from Sue’s sample is equal to the sample proportion from Javier’s sample. Which of the following statements correctly describes their intervals?
Mathematics
1 answer:
egoroff_w [7]3 years ago
6 0

Answer:

the width of sue's interval will be narrower than javier's.

Step-by-step explanation:

in this problem, i do believe that sue's interval will be more narrow. in the formula,

p-hat ± \sqrt{phat(1-phat)/ n ,

a larger "n" value will lead to a smaller standard error. given that the population proportion is the same for both, and the sample size is the only difference, the standard error of sue's interval will be smaller than javier's, therefore making her whole confidence interval smaller.

again, i do believe this is correct, this is what i have in my AP stat notes. hope this helps!

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Answer:

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If you entered your test scores correctly, then your choices are off the wall.  

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I hope this helps

Step-by-step explanation:

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Leno4ka [110]

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Answer:A

Step-by-step explanation: Hope this helped. Let me know if it did.

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2 years ago
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klasskru [66]

Answer:

-0.20

Step-by-step explanation:

Given the data:

Age at auction (x) ____price sold (y)

391

51

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84

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General formula for a simple linear regression :

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Where ;

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From the result obtained from the calculator :

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The regression Coefficient obtained is - 0.20

This shows that there is a weak negative correlation between the age at auction and the price at which painting is sold. This is because the negative sign means that value of y decreases as x increases or vice versa, however, due to a correlation vale which is closer to 0 than 1 or - 1, we can conclude that the negative relationship between the variables is weak.

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