State the null hypothesis H0? and the alternative hypothesis H1? . H0:? H1:? (b) Determine the type of test statistic to use.   ▼(Choose one) chi square ? z? t? f?   (c) Find the value of the test statistic. ? (Round to three or more decimal places.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.1: Measures Of Center
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A hospital claims that the proportion, p , of full-term babies born in their hospital that weigh more than 7 pounds is 42%. In a random sample of 175 babies born in this hospital, 68 weighed over 7pounds. Is there enough evidence to reject the hospital's claim at the 0.05 level of significance? Perform a two-tailed test. Then complete the parts below.

Carry your intermediate computations to three or more decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)

(a) State the null hypothesis
H0?
and the alternative hypothesis
H1?
.
H0:?
H1:?
(b) Determine the type of test statistic to use.
  ▼(Choose one) chi square ? z? t? f?
 
(c) Find the value of the test statistic. ? (Round to three or more decimal places.)
 
(d) Find the p-value.? (Round to three or more decimal places.)
 
(e) Can we reject the claim that the proportion of full-term babies born in their hospital that weigh more than
7 pounds is 42% ?
yes or no?
 
Expert Solution
Step 1

As per our guidelines , we are allowed to answer three sub-parts only. Thanks

 

The following information is provided: The sample size is N=175N = 175, the number of favorable cases is X=68X = 68, and the sample proportion is pˉ=XN=68175=0.3886\bar p = \frac{X}{N} = \frac{ 68}{ 175} = 0.3886, and the significance level is α=0.05\alpha = 0.05

(a) Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho:p=0.42Ho: p = 0.42 (proportion of full-term babies born in their hospital that weigh more than 7 pounds is 42%)

Ha:p  0.42 ((proportion of full-term babies born in their hospital that weigh more than 7 pounds is not 42%)

(b)This corresponds to a two-tailed test, for which a z-test for one population proportion needs to be used.

 

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