Chapter 4 Flashcards
It is used to determine if sample results are convincing enough to infer something about the population
Statistical test
A claim that there is no effect or difference
Null hypothesis
A claim for which we seek evidence
Alternative hypothesis
It is created by collecting the values of a sample statistic for each simulated sample
Randomization distribution
the proportion of samples, when the null hypothesis is true, that would give a statistic as extreme as (or more extreme than) the originally observed sample
P-value
The hypothesis that is only written with equality
Null hypothesis
The hypothesis that is only written with inequalities
Alternative hypothesis
It signifies the need for a right-tail test
Greater than
It signifies the need for a left-tail test
Less than
It signifies the need for a two-tail test
Not equal to
The threshold below which the p-value is deemed small enough to reject the null hypothesis
Significance level
Written conclusion when p-value <a
“We have (strong) evidence that [fill with the alternative hypothesis]”
Written conclusion when p-value >a
“We do not have enough evidence to conclude that [fill with the alternative hypothesis]”
T or F: We never accept the null hypothesis, only reject it
True
When the p-value is less than the significance level
Statistically significant
