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Menu iconMenu iconData Analysis Foundations with Python
Data Analysis Foundations with Python

Quiz for Part V: Statistical Foundations

Chapter 12: Hypothesis Testing

  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.
  2. 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.
  3. What does ANOVA stand for?
    • a) Analysis Of Varied Algorithms
    • b) Analysis Of Variance
    • c) Association Of Various Aspects
    • d) Advanced Notation Of Variables

Chapter 12: Hypothesis Testing

  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.
  2. 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.
  3. What does ANOVA stand for?
    • a) Analysis Of Varied Algorithms
    • b) Analysis Of Variance
    • c) Association Of Various Aspects
    • d) Advanced Notation Of Variables

Chapter 12: Hypothesis Testing

  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.
  2. 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.
  3. What does ANOVA stand for?
    • a) Analysis Of Varied Algorithms
    • b) Analysis Of Variance
    • c) Association Of Various Aspects
    • d) Advanced Notation Of Variables

Chapter 12: Hypothesis Testing

  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.
  2. 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.
  3. What does ANOVA stand for?
    • a) Analysis Of Varied Algorithms
    • b) Analysis Of Variance
    • c) Association Of Various Aspects
    • d) Advanced Notation Of Variables