In: Statistics and Probability
(1 point) Samples were collected from two ponds in the Bahamas to compare salinity values (in parts per thousand). Several samples were drawn at each site.
Pond 1: 37.02, 36.72, 37.03, 38.85, 36.75, 37.54, 37.32
Pond 2: 38.71, 38.53, 39.21, 39.05, 38.89
Use a 0.050.05 significance level to test the claim that the two
ponds have the same mean salinity value.
(a) The test statistic is .
(b) The conclusion is
A. There is not sufficient evidence to indicate
that the two ponds have different salinity values.
B. There is sufficient evidence to indicate that
the two ponds have different salinity values.
(c) We should
A. not take the results too seriously since
neither sample is big enough to be meaningful.
B. remove the largest and smallest values from the
larger data set and only test equal size samples.
C. check to see if the data appear close to Normal
since the sum of the sample sizes is less than 15.
D. All of the above.
For Pond 1 :
∑x = 261.23
∑x² = 9751.979
n1 = 7
Mean , x̅1 = Ʃx/n = 261.23/7 = 37.3186
Standard deviation, s2 = √[(Ʃx² - (Ʃx)²/n)/(n-1)] = √[(9751.9787-(261.23)²/7)/(7-1)] = 0.7358
For Pond 2 :
∑x = 194.39
∑x² = 7557.784
n2 = 5
Mean , x̅2 = Ʃx/n = 194.39/5 = 38.8780
Standard deviation, s2 = √[(Ʃx² - (Ʃx)²/n)/(n-1)] = √[(7557.7837-(194.39)²/5)/(5-1)] = 0.2689
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Null and Alternative hypothesis:
Ho : µ1 = µ2
H1 : µ1 ≠ µ2
Pooled variance :
S²p = ((n1-1)*s1² + (n2-1)*s2² )/(n1+n2-2) = ((7-1)*0.7358² + (5-1)*0.2689²) / (7+5-2) = 0.3538
a) Test statistic:
t = (x̅1 - x̅2) / √(s²p(1/n1 + 1/n2 ) = (37.3186 - 38.878) / √(0.3538*(1/7 + 1/5)) = -4.4777
df = n1+n2-2 = 10
p-value :
Two tailed p-value = T.DIST.2T(ABS(-4.4777), 10) = 0.0012
Conclusion:
Answer B. There is sufficient evidence to indicate that the two ponds have different salinity values.
c) Answer: C. check to see if the data appear close to Normal since the sum of the sample sizes is less than 15.