Random samples of resting heart rates are taken from two groups. Population 1 exercises regularly, and Population 2 does not. The data from these two samples is given below:
Population 1: 71, 67, 61, 62, 67, 70, 68
Population 2: 71, 68, 71, 78, 76, 73, 71, 68
Is there evidence, at an α=0.075, level of significance, to conclude that there those who exercise regularly have lower resting heart rates? (Assume that the population variances are equal.) Carry out an appropriate hypothesis test, filling in the information requested.
A. The value of the standardized test statistic:
Note: For the next part, your answer should use interval notation. An answer of the form (−∞,a)(−∞,a) is expressed (-infty, a), an answer of the form (b,∞)(b,∞) is expressed (b, infty), and an answer of the form (−∞,a)∪(b,∞)(−∞,a)∪(b,∞) is expressed (-infty, a)U(b, infty).
B. The rejection region for the standardized test statistic:
C. The p-value is
For Population 1 :
∑x = 466
∑x² = 31108
n1 = 7
Mean , x̅1 = Ʃx/n = 466/7 = 66.5714
Standard deviation, s2 = √[(Ʃx² - (Ʃx)²/n)/(n-1)] = √[(31108-(466)²/7)/(7-1)] = 3.7796
For Population 2 :
∑x = 576
∑x² = 41560
n2 = 8
Mean , x̅2 = Ʃx/n = 576/8 = 72.0
Standard deviation, s2 = √[(Ʃx² - (Ʃx)²/n)/(n-1)] = √[(41560-(576)²/8)/(8-1)] = 3.5456
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A. Null and Alternative hypothesis:
Ho : µ1 = µ2
H1 : µ1 < µ2
Pooled variance :
S²p = ((n1-1)*s1² + (n2-1)*s2² )/(n1+n2-2) = ((7-1)*3.7796² + (8-1)*3.5456²) / (7+8-2) = 13.3626
Test statistic:
t = (x̅1 - x̅2) / √(s²p(1/n1 + 1/n2 ) = (66.5714 - 72) / √(13.3626*(1/7 + 1/8)) = -2.8694
df = n1+n2-2 = 13
B. Critical value, t crit = T.INV(0.075, 13) = -1.530
Rejection region: (-infinity, -1.530)
C. p-value = T.DIST(-2.8694, 13, 1) = 0.0066
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