In: Statistics and Probability
La Leche League International reports that the mean age of weaning a child from breastfeeding is age four to five worldwide. In America, most nursing mothers wean their children much earlier. Suppose a random survey is conducted of 21 U.S. mothers who recently weaned their children. The mean weaning age was nine months (3/4 year) with a standard deviation of 4 months. Conduct a hypothesis test to determine if the mean weaning age in the U.S. is less than four years old. Also conduct a hypothesis test summary.
Answer :
we have given :
n = sample size = 21
x̄ = sample mean = 9 month
s = sample standard deviation = 4 month
μ = population mean = 4 year = 48 month
α = 5 % = 0.05
Claim : Conduct a hypothesis test to determine if the mean weaning age in the U.S.
is less than four years old.
## step1 : null and alternative Hypothesis :
Ho : μ ≥ 4 year vs H1: μ < 4 year
( it is left tailed , one tailed test )
## step 2 : Test statistics :
t = (x̄ - μ) *√ n / s
t = ( 9 - 48 ) * √ 21 / 4
= - 178.7204 / 4
= - 44 .6801
## step 3 : level of significance = 0.05
## step 4 : critical value
df = degree of freedom = n - 1 = 20
critical value = t ( α , df )
= - 1.7247 from table , ( it is left tailed test )
step 5 : Decision :
We reject Ho if - t statistics < - t critical value here - t statistics < - t critical value
we reject Ho at given level of significance .
Step 6 : Conclusion :
There is Sufficient evidence to conclude that the mean weaning age in the U.S. is less than four years old.