A random sample of 857 births included 429 boys. Use a 0.10 significance level to test the claim that 51.2% of newborn babies are boys. Do the results support the belief that 51.2% of newborn babies are boys? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. Upper H 0: pequals0.512 Upper H 1: pnot equals0.512 B. Upper H 0: pequals0.512 Upper H 1: pgreater than0.512 C. Upper H 0: pequals0.512 Upper H 1: pless than0.512 D. Upper H 0: pnot equals0.512 Upper H 1: pequals0.512 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is nothing. (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is nothing. (Round to three decimal places as needed.)
Solution :
Given that,
= 0.512
1 - = 0.488
n = 857
x = 429
Level of significance = = 0.10
Point estimate = sample proportion = = x / n = 0.501
This a two tailed test.
A)
Ho: p = 0.512
Ha: p 0.512
Test statistics
z = ( - ) / *(1-) / n
= ( 0.501 - 0.512) / (0.512*0.488) / 857
= -0.67
P-value = 2*P(Z<z)
= 2* P(Z < -0.67)
= 1 - 0.2514
= 0.503
The p-value is p = 0.503, and since p = 0.503 > 0.10, it is concluded that the null hypothesis is fails to rejected.
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