A hospital claims that the proportion, p , of full-term babies born in their hospital that weigh more than 7 pounds is 48% . In a random sample of 155 babies born in this hospital, 87 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.1 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. The null hypothesis: H0: The alternative hypothesis: H1: The type of test statistic: (Choose one)ZtChi squareF The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.1 level of significance: (Round to at least three decimal places.) and Can we reject the claim that the proportion of full-term babies born in their hospital that weigh more than 7 pounds is 48% ?
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.
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Given:
Claimed proportion of babies weighing more than 7 pounds (p) = 0.48
Sample size of babies born in the hospital (n) = 155
Number of babies in the sample weighing above 7 pounds (x) = 87
Significance level = 0.1
Testing whether the proportion of babies born weighing more than 7 pounds is different from 0.48 or not.
Test statistic
The test value is 2.0257.
Critical value
From z tables
Conclusion:
As the test value does not lies within (-1.6449, 1.6449) , so there is sufficient evidence to reject null hypothesis at 0.1 level of significance and thus conclude that the hospital’s claim regarding the proportion of babies weighing above 7 pounds is 0.48 is incorrect.
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