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