A hospi V ims that the proportion, p, of full-term babies born in their hospital that weigh more than 7 pounds is 39%. In a random sample of 220 babies born in this hospital, 95 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.01 level of significance? Perform a two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.) The null hypothesis: |#, :0 The alternative hypothesis: H, :0 O=0 OSO The type of test statistic: (Choose one) v The value of the test statistic: (Round to at least three decimal places.) ? The two critical values 0.01 level of significance: the Oand0 (Round to at least three decimal places.) Can we reject the claim that the proportion of full- term babies born in their hospital that weigh more | than 7 pounds is 39%? O Yes O No olo Ix 1 ! x

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Chapter1: The Six Trigonometric Functions
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O CONFIDENCE INTERVALS AND HYPOTHESIS TESTING
Tanya
Hypothesis test for a population proportion
ims that the proportion, p, of full-term babies born in their hospital that weigh more than 7 pounds is 39%. In a random sample of 220 babies born
A hospi
in this hospital, 95 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.01 level of significance?
Perform a two-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)
The null hypothesis:
H, :U
The alternative hypothesis:
H, :U
Aa
믐
D=0
OSO
The type of test statistic:
(Choose one)
O#0
O<O
The value of the test statistic:
(Round to at least three
decimal places.)
The two critical values at the
0.01 level of significance:
and|
(Round to at least three
decimal places.)
Can we reject the claim that the proportion of full-
term babies born in their hospital that weigh more
O Yes
O No
than 7 pounds is 39%?
Explanation
Check
© 2020 McGraw-Hill Education. All Rights Reserved. Terms of Use I Privacy Accessibility
8:01 AM
O Type here to search
W
后 x
10/12/2020
...
Transcribed Image Text:O Academi × O Students x Healthca x O McGraw x A ALEKS O Inferenti x * Course X A Dashboa x A Confider x New Tab M Inbox (1 x 1 Essay Re X i www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-IgNslkr7j8P3jH-IQirVmXK7o_zpyaAMkjWKJh-pmWc8lyVwdR5MUuOjOCNj_fMynL8nspNAPc7HUuDGOA38xle62ujY-2CEN-_gh. * w. E Apps * Bookmarks MY EBAY а АМAZON YAHOO Mail - Savage, Tany.. MEGA ESSAYS M GMAIL 7 Bank of America | H.. DEL ONE FCU USAA | CHECKING... S STUDY POOL Other bookmarks O CONFIDENCE INTERVALS AND HYPOTHESIS TESTING Tanya Hypothesis test for a population proportion ims that the proportion, p, of full-term babies born in their hospital that weigh more than 7 pounds is 39%. In a random sample of 220 babies born A hospi in this hospital, 95 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.01 level of significance? Perform a two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.) The null hypothesis: H, :U The alternative hypothesis: H, :U Aa 믐 D=0 OSO The type of test statistic: (Choose one) O#0 O<O The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.01 level of significance: and| (Round to at least three decimal places.) Can we reject the claim that the proportion of full- term babies born in their hospital that weigh more O Yes O No than 7 pounds is 39%? Explanation Check © 2020 McGraw-Hill Education. All Rights Reserved. Terms of Use I Privacy Accessibility 8:01 AM O Type here to search W 后 x 10/12/2020 ...
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