A childcare agency was interested in examining the monthly amount that family pay for childcare outside the home per child. A random sample of 64 families was selected and the average and standard deviation were computed to be $675 and $40 respectively.
a)
sample mean, xbar = 675
sample standard deviation, s = 40
sample size, n = 64
degrees of freedom, df = n - 1 = 63
Given CI level is 99%, hence α = 1 - 0.99 = 0.01
α/2 = 0.01/2 = 0.005, tc = t(α/2, df) = 2.656
CI = (675 - 2.656 * 40/sqrt(64) , 675 + 2.656 * 40/sqrt(64))
CI = (661.72 , 688.28)
b)
Below are the null and alternative Hypothesis,
Null Hypothesis: μ = 700
Alternative Hypothesis: μ < 700
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (675 - 700)/(40/sqrt(64))
t = -5
P-value Approach
P-value = 0
As P-value < 0.05, reject the null hypothesis.
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