
Understanding Parametric and Non-Parametric Tests

Interactive Video
•
Mathematics
•
10th - 12th Grade
•
Hard
Nancy Jackson
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key assumption for using parametric tests?
Data must be normally distributed
Data must be binary
Data must be ranked
Data must be categorical
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of the video tutorial?
Exploring statistical software
Understanding hypothesis testing
Explaining data collection methods
Learning about data visualization
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are parametric tests generally preferred over non-parametric tests?
They require fewer assumptions
They are more powerful
They are easier to calculate
They are more accurate
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between Pearson and Spearman correlation?
Pearson is for categorical data, Spearman is for continuous data
Pearson uses raw data, Spearman uses ranks
Pearson is non-parametric, Spearman is parametric
Pearson uses ranks, Spearman uses raw data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of hypothesis testing, what does the Mann-Whitney U test compare?
Mean differences
Rank sum differences
Correlation differences
Variance differences
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a non-parametric counterpart to the T-test for independent samples?
ANOVA
Kruskal-Wallis test
Mann-Whitney U test
Chi-square test
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the T-test for independent samples assess?
Rank sum differences
Mean differences
Variance differences
Correlation differences
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