Understanding Discrete Variables and Distributions

Test your knowledge on discrete random variables, distributions, and key concepts in statistics such as variance, expected value, and binomial experiments.

Flashcards19 cardsFPractice quizPHost liveL

Questions 19

Answers

1
Which is a discrete distribution?
Uniform distribution
Binomial distribution
Exponential distribution
Normal distribution
2
What does a cumulative distribution function show?
Total count of outcomes
Variance of outcomes
Average of outcomes
Probability up to x
3
True or false: Discrete variables can be infinite.
False
True
4
True or false: Mean is always whole number.
True
False
5
True or false: Discrete variables can be negative.
True
False
6
What is the range of a binomial variable?
Only whole numbers
Negative to positive
All real numbers
0 to n
7
What defines a discrete random variable?
Infinite outcomes
Only negative values
Continuous range
Countable outcomes
8
Which is a characteristic of a binomial experiment?
No fixed trials
Continuous outcomes
Infinite trials
Two outcomes only
9
True or false: Discrete distributions can be skewed.
False
True
10
Which is a property of probability mass function?
Sum equals one
Continuous values only
Only whole numbers
Can be negative
11
What does the term 'k' represent in binomial?
Number of successes
Total trials
Average outcome
Probability of success
12
Which is not a discrete variable?
Dice rolls
Number of students
Height of plants
Number of cars
13
True or false: All discrete variables are integers.
False
True
14
What is the range of a discrete variable?
Only positive integers
Specific values only
Negative infinity
All real numbers
15
What does variance measure?
Probability of success
Total count
Average value
Spread of data
16
What is the mode in statistics?
Middle value
Average value
Most frequent value
Sum of values
17
What is a common discrete distribution?
Log-normal distribution
Poisson distribution
Beta distribution
Gaussian distribution
18
What does the expected value represent?
Minimum value
Most likely outcome
Maximum value
Long-term average
19
Which is a key feature of Poisson distribution?
Dependent events
Continuous outcomes
Events in fixed interval
Only two outcomes

Understanding Discrete Variables and Distributions Flashcards | StudBud

Understanding Discrete Variables and Distributions

19 termsStudBud Administration

Test your knowledge on discrete random variables, distributions, and key concepts in statistics such as variance, expected value, and binomial experiments.

Flashcards19 cardsFPractice quizPHost liveL

Questions 19

Answers

1
Which is a discrete distribution?
Uniform distribution
Binomial distribution
Exponential distribution
Normal distribution
2
What does a cumulative distribution function show?
Total count of outcomes
Variance of outcomes
Average of outcomes
Probability up to x
3
True or false: Discrete variables can be infinite.
False
True
4
True or false: Mean is always whole number.
True
False
5
True or false: Discrete variables can be negative.
True
False
6
What is the range of a binomial variable?
Only whole numbers
Negative to positive
All real numbers
0 to n
7
What defines a discrete random variable?
Infinite outcomes
Only negative values
Continuous range
Countable outcomes
8
Which is a characteristic of a binomial experiment?
No fixed trials
Continuous outcomes
Infinite trials
Two outcomes only
9
True or false: Discrete distributions can be skewed.
False
True
10
Which is a property of probability mass function?
Sum equals one
Continuous values only
Only whole numbers
Can be negative
11
What does the term 'k' represent in binomial?
Number of successes
Total trials
Average outcome
Probability of success
12
Which is not a discrete variable?
Dice rolls
Number of students
Height of plants
Number of cars
13
True or false: All discrete variables are integers.
False
True
14
What is the range of a discrete variable?
Only positive integers
Specific values only
Negative infinity
All real numbers
15
What does variance measure?
Probability of success
Total count
Average value
Spread of data
16
What is the mode in statistics?
Middle value
Average value
Most frequent value
Sum of values
17
What is a common discrete distribution?
Log-normal distribution
Poisson distribution
Beta distribution
Gaussian distribution
18
What does the expected value represent?
Minimum value
Most likely outcome
Maximum value
Long-term average
19
Which is a key feature of Poisson distribution?
Dependent events
Continuous outcomes
Events in fixed interval
Only two outcomes