Data Analysis Foundations with PythonChapter 182
Chapter 12: Hypothesis Testing
Section 2 of 3-~ 1 min read-Synced from Cuantum content
1. What does the null hypothesis typically state? - a) A statistical difference exists.
- b) No statistical difference exists.
- c) The experiment is invalid.
- d) All variables are independent.
1. What does a p-value of 0.05 generally suggest? - a) There's a 5% chance that the null hypothesis is true.
- b) There's a 95% chance that the null hypothesis is true.
- c) There's a 5% chance that the results are due to random chance.
- d) None of the above.
1. What does ANOVA stand for? - a) Analysis Of Varied Algorithms
- b) Analysis Of Variance
- c) Association Of Various Aspects
- d) Advanced Notation Of Variables