A sample of 18 California wine specimens found a mean
lead content of 287 parts per billion (ppb) with a standard
deviation of 120 ppb. At the 1% level of significance can we show
that the mean lead content of all California wines is not 240
ppb?
(a) State and test appropriate hypotheses. State conclusions
(b) What assumption is necessary for the analysis above to be
appropriate?
a)
null hypothesis: HO: μ | = | 240 | ||
Alternate Hypothesis: Ha: μ | ≠ | 240 | ||
0.01 level with two tail test and n-1= 17 df, critical t= | 2.898 | |||
Decision rule :reject Ho if absolute value of test statistic|t|>2.898 | ||||
population mean μ= | 240 | |||
sample mean 'x̄= | 287.000 | |||
sample size n= | 18.00 | |||
sample std deviation s= | 120.000 | |||
std error 'sx=s/√n= | 28.284 | |||
test stat t ='(x-μ)*√n/sx= | 1.662 |
since test statistic does not falls in rejection region we fail to reject null hypothesis | |||||
we do not have have sufficient evidence to conclude that mean lead content of all California wines is not 240 ppb |
b)
we need to assume that sample observations are independent and population is normally distributed since sample size is small ( <30)
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