In: Statistics and Probability
A biotech company produces a therapeutic drug whose concentration has a standard deviation of 0.2 g/l(gram per liter). A new method of producing this drug has been proposed, although some additional cost is involved. Management will authorize a change in production technique only if the standard deviation of the concentration in the new process is less than 0.2 g/l. With the data of sample size n = 10 in the table below, conduct a hypothesis testing analysis to determine whether this new process can be implemented.
16.628 16.622 16.627 16.623 16.618 16.630 16.631 16.624 16.622 16.626 (unit: g/l)
sample std dev , s = √(Σ(X- x̅ )²/(n-1) )
= 0.0040
Ho : σ = 0.2
Ha : σ < 0.2
Level of Significance , α = 0.05
sample Std dev , s = 0.004040077
Sample Size , n = 10
Chi-Square Statistic X² = (n-1)s²/σ² =
0.004
degree of freedom, DF=n-1 = 9
one tail test
lower critical value = 3.325112843
p-value = 0.00000
P value < alpha , Reject the null hypothesis
There is sufficient evidence that standard deviation of the concentration in the new process is less than 0.2 g/l
and this new process can be implemented.
Thanks in advance!
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