a)
select
The sample size is no more than 5% of the population size.
The sampling method results in a dependent sample.
The differences are normally distributed or the sample size is
large.
b)
X = father
Y = son
since we want to test if sons are taller that therir father or equivalenty
are fathers shorter than their sons

c)
data
| 68.7 | 73.8 |
| 72.9 | 76.4 |
| 69.2 | 71.6 |
| 72.9 | 74.7 |
| 66.9 | 68.1 |
| 70.2 | 70.8 |
| 68.6 | 68.7 |
| 72.9 | 72.2 |
| 70.4 | 69.2 |
| 71.2 | 69.3 |
| 68.7 | 66.2 |
| 73.3 | 69.7 |
| 66.6 | 61.5 |
Using Excel
data -> data analysis -> t-Test: Paired Two Sample for Means
| t-Test: Paired Two Sample for Means | ||
| Variable 1 | Variable 2 | |
| Mean | 70.1923 | 70.1692 |
| Variance | 5.3691 | 14.8640 |
| Observations | 13 | 13 |
| Pearson Correlation | 0.6668 | |
| Hypothesized Mean Difference | 0 | |
| df | 12 | |
| t Stat | 0.0288 | |
| P(T<=t) one-tail | 0.4887 | |
| t Critical one-tail | 1.3562 | |
| P(T<=t) two-tail | 0.9775 | |
| t Critical two-tail | 1.7823 |
t = 0.03
p-value = 1 - 0.4887 = 0.511
if p-value < alpha, we reject the null hypothesis
if p-value > alpha, we fail to reject the null hypothesis

alpha = 0.1
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