Probability Distributions MCQ Test: Probability Distributions MCQs - Practice Questions
1. What is the formula for calculating the standard deviation of a sample?
2. In statistics, what is the kurtosis of a distribution?
3. What is the central limit theorem?
4. What does the term 'degrees of freedom' refer to in the context of a t-distribution?
5. Which of the following is a characteristic of a normal distribution?
6. In a Poisson distribution, what does the parameter 'λ' represent?
7. Which term is used to describe the 'shape' of a probability distribution?
8. What does the standard deviation measure in a probability distribution?
9. What is the term for the values a random variable can take and the corresponding probabilities of those values?
10. What does the term 'probability mass function' (PMF) refer to in probability distributions?
11. In a chi-square test, what does the chi-square statistic measure?
12. What is the shape of a standard normal distribution?
13. Which distribution is appropriate for modeling the number of events in a fixed interval of time or space?
14. What is the purpose of the chi-square goodness-of-fit test?
15. In a probability distribution, what does the area under the curve represent?
16. Which of the following is a characteristic of a uniform distribution?
17. What does the term 'p-value' represent in hypothesis testing?
18. What does the term 'skewness' refer to in the context of probability distributions?
19. In a probability distribution, what is the mean?
20. What is the main purpose of a probability distribution?
21. Which of the following is a characteristic of a chi-square distribution?
22. What is the shape of a normal distribution?
23. In a normal distribution, what percentage of data falls within one standard deviation of the mean?
24. Which term is used to describe the 'spread' of a probability distribution?
25. What is the 'central tendency' of a probability distribution?
26. What is the key assumption of the t-test for independent samples?
27. Which term is used to describe the 'central tendency' of a probability distribution?
28. What is the range of possible values in a probability distribution called?
29. Which distribution is commonly used in hypothesis testing for comparing two independent samples?
30. Which distribution is often used to model the time until an event occurs?
31. Which of the following is a continuous probability distribution?
32. In a probability distribution, what does the mode represent?
33. Which probability distribution is commonly used to model the number of successes in a fixed number of independent Bernoulli trials?
34. What is the main advantage of using a probability distribution to describe random variables?
35. Which distribution is used to test whether there is a significant difference between the means of three or more independent groups?
36. What is the difference between Type I and Type II errors in hypothesis testing?
37. What is the probability of an event with a probability of 0.25 occurring?
38. In a probability distribution, what is the median?
39. What is the sum of probabilities in a probability distribution?
40. What is the key difference between a discrete and continuous probability distribution?