Probability Theory
%
My Stats
Current Streak
/ 5
Tokens
Lifetime Tokens
Accuracy
%
User ID
Home
Quest
Answered
Saved
Hot Topics
Following
Followers
Post
Create
Promote
1
Comments
Money
Account
Please select a topic from the list.
Out of Tokens! Answer 5 in a row to earn more tokens
Instrument Design
Conservation Biology
Marine Geology
Business Studies
Microscopy
Allergies and Immunology
Animal Nutrition
Oceanography
Mental Health Disorders
Airline Loyalty Programs
Botany
Building Construction
Transportation Infrastructure
Neurobiology
Space Communication
Automotive Maintenance
Cell Biology
British Armed Forces
Human Anatomy
Security Systems
Organizational Culture
Computer Storage
Medieval Architecture
Broadcasting
Materials and Construction
Urban Ecology
Environmental Issues
Global Development Goals
Exposure
Islamic Festivals
8
8987
➕ Follow Author
📄 View Journals
>>
Followers:
0
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Heavy-tailed Distribution
Rare, massive events are more common than you think due to heavy-tailed distributions
43 hours ago
0
Why do heavy-tailed distributions matter more than exponential distributions in risk assessment?
Because they always have symmetrical tails making predictions easier.
Because they assume extreme events are less likely than in exponential distributions.
Because they predict a higher likelihood of extreme, rare events that can have major impacts.
B
Bonbo
Me as you
➕ Follow Author
📄 View Journals
>>
Followers:
6
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Foundations of Probability
Mathematical rigor clashes with philosophical debates in defining chance
4 days ago
0
What is the primary source of conflict within probability theory despite its rigorous mathematical framework?
The inability to assign probabilities between 0 and 1 to events
Different interpretations of what probability actually represents in reality
The lack of any formal axioms defining probability
N
Nellieger
I am studying psychology
➕ Follow Author
📄 View Journals
>>
Followers:
5
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Expected Value
How a simple weighted average predicts your long-term gains or losses
11 days ago
0
Why is expected value considered a weighted average rather than a simple average?
Because it multiplies each outcome by its probability before summing, reflecting likelihoods.
Because it only averages the most likely outcomes, ignoring less likely ones.
Because it averages all outcomes equally without considering their probabilities.
P
Piston1
Friend or foe
➕ Follow Author
📄 View Journals
>>
Followers:
4
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Stochastic Process
Randomness in nature and markets follows surprisingly predictable mathematical patterns
13 days ago
0
Why are stochastic processes essential for modeling systems like financial markets and biological populations?
Because they eliminate randomness to provide exact future outcomes.
Because they treat all events as completely independent and unrelated over time.
Because they capture the inherent randomness and time-dependent evolution of these systems, allowing probabilistic predictions.
S
Steve_EOOOO
➕ Follow Author
📄 View Journals
>>
Followers:
0
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Andrey Kolmogorov
The mathematician who turned chance into a precise science reshaping multiple fields
13 days ago
0
What was the key impact of Kolmogorov's axiomatic approach to probability theory?
It proved that probability is purely a philosophical concept without practical applications.
It showed that probability theory is incompatible with other branches of mathematics.
It provided a rigorous mathematical foundation that allowed probability to be applied consistently across sciences.
J
Johnbarrow
John from Bartow
➕ Follow Author
📄 View Journals
>>
Followers:
5
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Random Variable
Random variables transform unpredictable events into precise mathematical functions
10 Feb 2026
0
Why is a random variable considered a function rather than just a random quantity?
Because it maps each outcome in the sample space to a measurable value, enabling mathematical analysis.
Because it changes randomly over time like a fluctuating quantity.
Because it represents the variability of data without any fixed mapping.
P
Piston1
Friend or foe
➕ Follow Author
📄 View Journals
>>
Followers:
4
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Absorbing Markov Chain
Absorbing states act like one-way doors that trap a process forever
8 Feb 2026
0
What key property distinguishes an absorbing Markov chain from a regular Markov chain?
All states in the chain are absorbing states.
Every state can reach an absorbing state that cannot be left once entered.
Absorbing states can be left but only with low probability.
S
Steve_EOOOO
➕ Follow Author
📄 View Journals
>>
Followers:
0
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Foundations of Probability
0
Probability theory transforms everyday uncertainty into precise mathematical language
8 Feb 2026
Probability theory transforms everyday uncertainty into precise mathematical language Conflict often arises between intuition and the formal rules of probability. People tend to rely on gut feelings about chance, but probability theory reveals that these...
B
Bonbo
Me as you
➕ Follow Author
📄 View Journals
>>
Followers:
6
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Probability Function
Probability functions quantify uncertainty, turning chance into measurable predictions
8 Feb 2026
0
What fundamental rule must a probability function always satisfy to be valid?
The probability of any event can be greater than 1
The total probability of all possible outcomes must equal 1
Probability functions only apply to continuous outcomes
N
Nellieger
I am studying psychology
➕ Follow Author
📄 View Journals
>>
Followers:
5
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Multivariate Normal Distribution
Multivariate normal distributions elegantly capture complex correlations in multiple dimensions
6 Feb 2026
0
Why is the multivariate normal distribution important in statistics?
Because it only applies to independent variables with no correlation
Because it generalizes the normal distribution to multiple correlated variables and underpins the multivariate central limit theorem
Because it describes any distribution of random variables, regardless of their relationships
P
Piston1
Friend or foe
➕ Follow Author
📄 View Journals
>>
Followers:
4
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Absorbing Markov Chain
Calculating expected steps to absorption reveals the dynamics of absorbing Markov chains
4 Feb 2026
0
What does the fundamental matrix (I - Q)^{-1} represent in the context of absorbing Markov chains?
It represents the probabilities of transitioning directly to absorbing states from transient states.
It represents the expected number of times the chain visits each transient state starting from a given transient state.
It represents the steady-state probabilities of the Markov chain.
B
Bb115
Books and cars
➕ Follow Author
📄 View Journals
>>
Followers:
7
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Bivariate Normal Distribution
Bivariate normal distribution models the joint behavior of two correlated normal variables
30 Jan 2026
0
What role does the correlation coefficient play in the bivariate normal distribution?
It measures the linear dependence between the two variables, affecting the shape of their joint distribution.
It determines the individual means of the two variables.
It controls the variance of each variable independently.
B
Bonbo
Me as you
➕ Follow Author
📄 View Journals
>>
Followers:
6
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Sample Space
Sample space defines all possible outcomes in a probability experiment
29 Jan 2026
0
Which of the following best describes a sample space in probability theory?
A single outcome of a random experiment
The set of all possible outcomes of a random experiment
The probability of an event occurring
B
Bonbo
Me as you
➕ Follow Author
📄 View Journals
>>
Followers:
6
Lifetime Tokens:
0
MATHEMATICS
Probability Theory
Probability Theory
Exploring the mathematical foundations that quantify uncertainty in random events
26 Jan 2026
0
What is the role of the probability measure in a probability space?
It assigns a value between 0 and 1 to each event, representing its likelihood.
It lists all possible outcomes of an experiment.
It determines the order in which events occur.
×
Comments
Loading....
Share comment
5
Streak Win!
Game Over