To test the belief that sons are taller than their fathers, a student randomly selects 6 fathers who have adult male children. She records the height of both the father and son in inches and obtains the accompanying data. Are sons taller than their fathers? Use the a = 0.1 level of signifigance. Note that a normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.
Observation | 1 | 2 | 3 | 4 | 5 | 6 |
Height of father (in inches), Xi | 70.2 | 67.1 | 71.4 | 66.7 | 71.9 | 69.2 |
Height of son (in inches), Yi | 73.5 | 69.3 | 67.3 | 67.0 | 67.6 | 75.0 |
(a) Choose the correct null and alternative hypotheses. Let di = Yi -Xi
(b) What is the p-value?
p-value = (Round to three decimal places as needed)
(c) What is the correct conclusion?
The statistical software output for this problem is:
Paired T hypothesis test:
μD = μ1 - μ2 : Mean of the
difference between Yi and Xi
H0 : μD = 0
HA : μD > 0
Hypothesis test results:
Difference | Mean | Std. Err. | DF | T-Stat | P-value |
---|---|---|---|---|---|
Yi - Xi | 0.53333333 | 1.6638643 | 5 | 0.32053896 | 0.3808 |
Hence,
a) Hypotheses:
H0 : μD = 0
HA : μD > 0
b) p - Value = 0.381
c) Do not reject Ho. There is not sufficient evidence to conclude that sons are taller than their fathers.
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