Mathematics
Probability Distributions
488 Questions
Probability distributions describe the likelihood of different outcomes in a statistical experiment. Key topics include calculating confidence intervals, understanding Type II errors, and working with the standard normal distribution. These concepts are frequently tested in mathematics and statistics sections of various competitive exams.
Standard normal distributionType II error probabilityConfidence interval interpretationPoisson distributionProbability density function
Probability Distributions Questions
Which of the following is a discrete probability distribution?
-
Normal distribution
-
Binomial distribution
-
Poisson distribution
-
Uniform distribution
B
Correct answer
Explanation
The binomial distribution is a discrete probability distribution that describes the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p.
What is the probability of getting a z-score between -1 and 1 in a standard normal distribution?
-
0.3413
-
0.6826
-
0.9545
-
0.9973
B
Correct answer
Explanation
The probability of getting a z-score between -1 and 1 in a standard normal distribution is approximately 0.6826.
What is the probability of getting a sample mean between 100 and 110 from a population with a mean of 105 and a standard deviation of 10, if a sample of size 25 is taken?
-
0.3413
-
0.6826
-
0.9545
-
0.9973
B
Correct answer
Explanation
Using the central limit theorem, the probability of getting a sample mean between 100 and 110 can be approximated by the probability of getting a z-score between (100 - 105) / (10 / √25) = -1 and (110 - 105) / (10 / √25) = 1 in a standard normal distribution. This probability is approximately 0.6826.
What is the probability of rejecting a null hypothesis when it is true, also known as a Type I error?
B
Correct answer
Explanation
In hypothesis testing, the probability of rejecting a null hypothesis when it is true is typically set at 0.05, which is known as the significance level.
What is the probability of failing to reject a null hypothesis when it is false, also known as a Type II error?
D
Correct answer
Explanation
In hypothesis testing, the probability of failing to reject a null hypothesis when it is false is known as the Type II error. The probability of a Type II error depends on the significance level, the effect size, and the sample size.
What is the formula for the law of distribution of conjunction over possibility?
-
$ \Diamond (\phi \wedge \psi) \leftrightarrow \Diamond \phi \wedge \Diamond \psi $
-
$ \Diamond (\phi \vee \psi) \leftrightarrow \Diamond \phi \vee \Diamond \psi $
-
$ \Box (\phi \wedge \psi) \leftrightarrow \Box \phi \wedge \Box \psi $
-
$ \Box (\phi \vee \psi) \leftrightarrow \Box \phi \vee \Box \psi $
A
Correct answer
Explanation
The law of distribution of conjunction over possibility states that the possibility of a conjunction is equivalent to the conjunction of the possibilities.
In the 2019 China Girls' Mathematical Olympiad, what was the probability of randomly selecting a prime number between 1 and 100?
B
Correct answer
Explanation
There are 25 prime numbers between 1 and 100: 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, and 97. Therefore, the probability of randomly selecting a prime number between 1 and 100 is 25 / 100 = 1/4.
How do you calculate the expected value of a bet?
-
EV = (Probability of winning * Payout) - (Probability of losing * Stake)
-
EV = (Probability of winning * Stake) - (Probability of losing * Payout)
-
EV = (Probability of winning + Probability of losing) * Stake
-
EV = (Probability of winning * Payout) + (Probability of losing * Stake)
A
Correct answer
Explanation
The expected value of a bet is calculated using the following formula: EV = (Probability of winning * Payout) - (Probability of losing * Stake). This formula takes into account the probability of winning and losing, as well as the payout and stake.