1. It is claimed that the average weight of babies at birth is 3.4kg. The average weight of a random sample of 30 newly born babies was determined. It was found out that the average weight was 3.1kg. Is there a reason to believe that the average weight of babies at birth is not 3.4kg? Assume that the population standard deviation is 1.1kg. Use 0.05 level of significance.
Ho: µ1 = µ0, (the average weight of babies is not different from 3.4kgs (µ0))
Ha: µ1 "\\neq" µ0, (µ0 =3.4kg), (the average weight of babies is different from 3.4kgs)
Level of Significance: α=0.05
Test- statistic: Z- statistics (this is because the sample size is large enough, "n\\geq 30" ). Thus we have "Z=\\frac{\\bar{X}-\\mu_0}{\\frac{s}{\\sqrt{n}}}"
Tails in Distribution: Two-tailed
Reject H0 if "Z\\geq 1.960 \\text{ or if } Z\\leq -1.960".
Test statistics
"Z=" "\\frac{\\bar{X}-\\mu_0}{\\frac{s}{\\sqrt{n}}}=\\frac{3.1-3.4}{\\frac{1.1}{\\sqrt{30}}}=-1.494"
We fail to reject H0 because "Z=-1.494>-1.960".
We do not have statistically significant evidence at α=0.05, to show that the average weight of babies at birth is not 3.4kg.
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