In a survey of 500 infants chosen at random, it is found that 240 are girls. Are boy and girl births equally likely according to this survey (use α = 0.05)
H0: there is no significant difference between boy births and girl births
H1: there is a significant difference between boy births and girl births
The probability of girl birth "= p =\\frac{1}{2}=0.5"
The probability of boy birth "= q = \\frac{1}{2}=0.5"
"n=500 \\\\\n\n\\sqrt{ \\frac{pq}{n} }= \\sqrt{ \\frac{0.5 \\times 0.5}{500} }=0.02236"
The observed sample proportion of girl birth
"\\hat{p}= \\frac{240}{500}=0.48"
The test-statistic:
"Z = \\frac{\\hat{p}-p}{\\sqrt{ \\frac{pq}{n} }} \\\\\n\nZ = \\frac{0.48-0.5}{0.02236}= -0.894 \\\\\n\n\u03b1=0.05 \\\\\n\nZ_{crit}= 1.96 \\\\\n\nZ < Z_{crit}"
Accept H0.
There is enough evidence to conclude that here is no significant difference between boy births and girl births at the 0.05 significance level.
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