In: Statistics and Probability
Do 9-year-old boys and girls have different average height? Please answer the question by performing an appropriate hypothesis test at the 10% significance level based on the sample results below:
Boys: n1= 60, 1x=123, S1= 10
Girls: n2= 50, 1x=126, S2= 1
since sample size for both is greater than 30; we can use large sample z distribution.
null hypothesis: Ho:μ1-μ2 | = | 0 | ||
Alternate hypothesis: Ha:μ1-μ2 | ≠ | 0 | ||
for 0.1 level with two tail test , critical z= | 1.645 | |||
Decision rule : reject Ho if absolute value of test statistic |z|>1.645 |
Boys | Girls | ||
x1 = | 123.00 | x2 = | 126.00 |
n1 = | 60 | n2 = | 50 |
σ1 = | 10.00 | σ2 = | 1.00 |
std error σx1-x2=√(σ21/n1+σ22/n2) =sqrt(10^2/60+1^2/50) = | 1.299 |
test statistic z =(x1-x2-Δo)/σx1-x2 =(123-126)/1.299 = | -2.31 |
since test statistic falls in rejection region we reject null hypothesis | |
we have sufficient evidence to conclude that 9-year-old boys and girls have different average height |