Random variables and probability distribution Flashcards
It is any activity that can be done repeatedly under similar conditions
Experiment or Trial
It is the set of all possible outcomes in an experiment
Sample space
It is the subset of sample space
Event
These are elements in a sample space
Outcomes
It is the ratio of the number of favorable outcomes to the number of possible outcomes
Probabilty
It is characterized as a function that associates a real number in a sample space
Random Variable
It is a variable whose values are determined by chance
Random Variable
it is a result of a chance event that you can measure or count
Random Variable
It is either finite or infinite number of values but countable such as whole
Discrete random variable
It has an infinite numerical values associated with any interval on the number line system without any gaps or break. This variable is measureable.
continuous random variable
The______ of a discrete random variable specifies the probability{chance} of each possible value of the random variable.
ProbaBILITY Distribution
The distribution of discrete random variables are concentrated as a mass of a particular value, and generally known as
Probability mass function
Is a ratio of the number of a favorable outcomes to the number of possible outcomes.
Probability
The probability of each value of the random variable must be between or equal to 0 and zero. In symbol
0<p{x}<1
The sum of all the probabilities of all values of the random variable must be equal to______
1…In symbol we write it as summationp{x}=1
We can represent a probability distribution graphically by conducting a type of a bar graph called a
Probability Histogram
In constructing a probability histogram the values of random variable are located along_____
horizontal axis
In constructing a probability histogram, the probability is located along______
Vertical axis
The_____ of a discrete random variable x is a weighted average of the possible values that the random variable can take
Mean
In a mean formula, x is
THe value of a random variable
In a mean formula, P(x) is
The corresponding probability of the random variable
It measures how far each number in the set is from the mean(average), and thus from every other number in the set
Variance
it is the measure of the amount of variation or dispersion of a st of values.
Standard Deviation
