Our environment is very sensitive to the amount of ozone in the upper atmosphere. The level of ozone normally found is 5.7 parts/million (ppm). A researcher believes that the current ozone level is not at a normal level. The mean of 16 samples is 5.4 ppm with a standard deviation of 0.6. Assume the population is normally distributed. A level of significance of 0.02 will be used. Make the decision to reject or fail to reject the null hypothesis.
We have to test whether the current ozone level is at a normal level or not. So,it is a two tailed hypothesis
Population standard deviation is known and sample size is less than 30, so we will use t distribution
Sample size n = 16
sample mean xbar = 5.4
standard deviation s = 0.6
population mean (mu) = 5.7
test statistic =
degree of freedom = n-1 = 16-1 = 15
using t table for t statistic (-2.00) with df(15), we get
p value = 0.0639
p value is greater than 0.02 significance level, failed to reject Ho because result is insignificant
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