Relationships, It's not complicated
This statistical concept shows how two variables are related
What is Correlation
The statement that predicts no difference or relationship between variables.
What is the null hypothesis
This test compares the means of two independent groups
What is independent t-test
This graph plots one variable on the X-axis and another on the Y-axis
What is a scatter plot
r value > 0.75 would be described as
What is very strong
The Pearson correlation coefficient is represented by this lowercase letter.
What is r
A p-value of 0.05 or less is typically considered this
What is statistically significant
This test compares scores from the same group measured twice.
What is dependent t-test
Term for correlations that are attributed to type I error.
What is "spurious"
If r = 0.3, Cohen would describe the relationship as this size of effect
What is moderate
When r is less than 0.05, it indicates this kind of relationship.
What is no relationship
Concluding there is a difference when none truly exists.
What is a Type I error
Comparing jump height among NCAA Division I, II, and III players would require this test.
What is one-way ANOVA
This value, often expressed as a percentage, tells you how much of one variable’s performance is explained by another.
What is R2 (r squared)
p value associated with 99% probability.
What is p = 0.01
A relationship where both variables increase together.
What is a positive correlation
Failing to detect a real difference.
What is Type II error
Latin phrase for "after the fact"
What is post hoc
p = 0.051 Accept or reject Null?
What is accept
The symbol α (alpha) represents this.
Other term for a negative relationship
What is indirect
Results are unlikely due to chance.
What is Statistically significant
Equal variance between groups is a key assumption of this test.
What is independent t-test
Used to convey "practical significance" to add real world meaning to statistical significance.
Next step in ANOVA following a main result of > 0.05
What is nothing (no further test required).