1. Which of the following best describes the issue with making multiple comparisons (e.g., "p hacking") when analyzing a

[answerhappygod]

1.
Which of the following best describes the issue with making
multiple comparisons (e.g., "p hacking") when analyzing a
dataset?
A. You may see correlations between the variables you're
analyzing, but these correlations may not be causal.
B. The more comparisons you analyze, the more likely one will be
statistically significant simply due to chance.
C. You'll be forced to use a small sample size, which means it's
less likely that you'll obtain statistically significant
results.
2. A statistic refers to the true value in a population, while a
parameter is an estimated value from a sample of the
population.
True
False
3. A correlation coefficient of zero means there's no
association between the two variables being compared.
True
False
4. A relative risk of zero means there's no association between
the two variables being compared.
True
False