Vae, a nurse practioner, is interested in determining if her clients with type II diabetes have lower fasting glucose after they started a new nutritional plan. She measures the fasting glucose of 14 random clients, and conducts a hypothesis test about mean of fasting glucose using a significance level of 2.5 %. The mean fasting glucose in these clients was 165 before the nutritional plan.
dfdf | t0.10t0.10 | t0.05t0.05 | t0.025t0.025 | t0.01t0.01 | t0.005t0.005 |
---|---|---|---|---|---|
...... | ... | ... | ... | ... | ... |
1313 | 1.350 | 1.771 | 2.160 | 2.650 | 3.012 |
1414 | 1.345 | 1.761 | 2.145 | 2.624 | 2.997 |
1515 | 1.341 | 1.753 | 2.131 | 2.602 | 2.947 |
1616 | 1.337 | 1.746 | 2.120 | 2.583 | 2.921 |
Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.
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critical value(s) =
critical value = -2.160
[ INTERPRETATION:-
hypothesis:-
where is the mean fasting glucose in these clients after they started a new nutritional plan
so, this is a left tailed test.
degrees of freedom :-
= (n-1) = (14-1) = 13 [sample size (n) = 14]
from the given t table, for df = 13, alpha = 0.025, one tailed test (right)
critical value of t = 2.160
but ,as it is a left tailed test and we consider that a t curve is symmetric about 0.
so, the critical value for df = 13 , alpha = 0.025 , left tailed test be:-
]
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