Basic Statistics and Data Analysis

Lecture notes, MCQS of Statistics

MCQs Probability 1

This Section contains Multiple Choice Questions MCQs on Probability and probability distribution, Correlation Analysis, Simple Regression Analysis, Multiple Regression Analysis, Coefficient of Determination (Explained Variation), Unexplained Variation, Model Selection Criteria, Model Assumptions, Interpretation of results, Intercept, Slope, Partial Correlation, Significance tests, OLS Assumptions, Multicollinearity, Heteroscedasticity, Autocorrelation etc. Lets start

MCQS Probability

Q1: Which of the following is not a correct statement about a probability

A) It must have a value between 0 and 1
B) It can be reported as a decimal or a fraction
C) A value near 0 means that the event is not likely to occur/happens
D) It is the collection of several experiments

Q2: The collection of one or more outcomes from an experiment is called

A) Probability
B) Even
C) Random Variable
D) Z-Value
E) Random Experiment

Q3: If the occurrence of one event means that another cannot happen, then the events are
A) Independent
B) Mutually Exclusive
C) Bayesian
D) Empirical

Q4: In which approach to probability the outcomes are equally likely to occur?

A) Classical Probability
B) Subjective Probability
C) Relative Frequency
D) Independent

Q5: In special rule of addition of probability, the events are always

A) Independent Events
B) Mutually Exclusive Events
C) Bayesian
D) Empirical

Q6: The joint probability is

A) The likelihood of two events happening together
B) The likelihood of an event happening given that another event has already happened
C) Based on two mutually exclusive events
D) Also called Prior probability

Q7: The the special rule of multiplication of probability, the events must be

A) Independent
B) Mutually Exclusive
C) Bayesian
D) Empirical

Q8: A listing of the possible outcomes of an experiment and their corresponding probability is called

A) Random Variable
B) Contingency table
C) Bayesian Table
D) Probability Distribution
E) Frequency Distribution

Q9: Which of the following is not an example of a discrete probability distribution?

A) The sale or purchase price of a house
B) The number of bedrooms in a house
C) The number of bathrooms in a house
D) Whether or not a home has a swimming pool in it

Q10: Which of the following is not a condition of the binomial distribution?

A) Only  2 possible outcomes
B) have constant probability of success
C) Must have at least 3 trials
D) trials must be independent

Q11: In a Poisson probability distribution

A) The mean and variance of the distribution are same (equal)
B) The probability of success is always greater than 5
C) The number of trials is always less than 5
D) It always contains a contingency table

Q12: If a card is chosen from a standard deck of cards, what is the probability of getting a five or a seven?

A) 4/52
B) 1/26
C) 8/52
D) 1/169

Q13: If you roll a pair of dice, what is the probability that (at least) one of the dice is a 4 or the sum of the dice is 7?

A) 4/36
B) 13/36
C) 21/36
D) 15/36

Q14: If a card is chosen from a standard deck of cards, what is the probability of getting a diamond (♦) or a club(♣)?

A) 26/52=1/2
B) 13/52
C) 20/52
D) 12/52


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Probability and Probability Distribution I

This section contains Multiple Choice Questions about Measure of Probability, Probability Rules, Conditional Probability, Bays Theorem, Probability Distributions, Discrete and Continuous Probability Distributions etc
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The Author

Muhammad Imdadullah

Student and Instructor of Statistics and business mathematics. Currently Ph.D. Scholar (Statistics), Bahauddin Zakariya University Multan. Like Applied Statistics and Mathematics and Statistical Computing. Statistical and Mathematical software used are: SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis etc.

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