In: Statistics and Probability
To compare the nicotine content of two quality cigarettes A and B, A examined 60 specimens and B examined 40 specimens.
cigarettes | average | dispertion |
A | 15.4 | 3 |
B | 16.8 | 4 |
Is there a difference in the nicotine content of the two cigarettes at the 5% significance level?
In the usual notation we are given
n1=60 x1bar=15.4. S1=3
n2=40. X2bar=16.8. S2=4
Null hypothesis: there is no significant difference between the average nicotine content of quality cigarettes I.e mu1=mu2
V/s
Alternative hypothesis:mu1< mu2 (left tailed test)
S.E(x1bar-x2bar)=√(s1^2/n1+s2^2/n2)
=√(9/60+16/40)
√0.55
=0.7416
Test statistic under Ho is
Z=(x1bar-x2bar)/S.E.(x1bar-x2bar)
Z=(15.4-16.8)/0.7416
Z=-1.4/0.7416
Z=-1.8878
Z=-1.88
Critical region for one tailed test the critical value of z at 5℅ level of significance is 1.645
The critical region for left tailed test thus consists of all values of z<=-1.645
Conclusion : calculated value of z(-1.88) is less than critical value (-1.645) it is significant at 5℅ level of significance
Hence null hypothesis is rejected at 5℅ level of significance
We concluded that average nicotine content of quality cigarettes B is higher than those quality cigarette A .