In: Statistics and Probability
Trace metals in drinking water affect the flavor and an unusually high concentration can pose a health hazard. We obtain the following data for 9 glasses of water. Each glass contained the same amount of water. We look at the zinc concentration (mg/L) in bottom water and the zinc concentration in surface water for each glass. It is fine to round any standard deviations to 2 decimals.
Glass 1 2 3 4 5 6 7 8 9
Bottom Water .48 .32 .62 .58 .76 .77 .70 .64 .52
Surface Water .42 .24 .39 .41 .61 .61 .63 .52 .41
Use a 96% confidence interval. Assume that the differences follow a normal distribution.
necessary calculation table:-
bottom water () |
surface water () |
||
0.48 | 0.42 | 0.06 | 0.004597 |
0.32 | 0.24 | 0.08 | 0.002285 |
0.62 | 0.39 | 0.23 | 0.010445 |
0.58 | 0.41 | 0.17 | 0.001781 |
0.76 | 0.61 | 0.15 | 0.000493 |
0.77 | 0.61 | 0.16 | 0.001037 |
0.7 | 0.63 | 0.07 | 0.003341 |
0.64 | 0.52 | 0.12 | 0.000061 |
0.52 | 0.41 | 0.11 | 0.000317 |
sum=1.15 | sum=0.024356 |
sample size (n) = 9
t critical value at 96% confidence level,both tailed test:-
[ using excel for df = (9-1) = 8,alpha=0.04, both tailed test]
hypothesis:-
the 96% confidence interval is:-
decision:-
as 0 in outside the confidence interval, we fail to reject the null hypothesis.
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