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Uniform Distribution definitions
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Define:
Continuous Random Variable
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Continuous Random Variable
A variable that can assume any value within a given range, with infinitely many possible outcomes between any two points.
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Terms in this set (15)
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Continuous Random Variable
A variable that can assume any value within a given range, with infinitely many possible outcomes between any two points.
Discrete Random Variable
A variable with a countable set of possible values, often represented in tables or bar graphs with gaps between values.
Probability Density Function
A function describing how probability is distributed over a range of values for a continuous random variable.
Uniform Distribution
A distribution where the probability density is constant across all values within a specified interval.
Area Under the Curve
The graphical representation of probability for a continuous random variable over a specific interval.
Interval
A continuous range of values between two endpoints, used to calculate probabilities for continuous variables.
Height
The value of the probability density function at a specific point, representing density rather than probability.
Width
The length of the interval on the x-axis over which probability is calculated for continuous variables.
Total Probability
The sum of all probabilities for a random variable, equal to one for both discrete and continuous cases.
Rectangle
The geometric shape formed under the probability density function in a uniform distribution, used to find probabilities.
Graph
A visual tool for representing the distribution of random variables, showing possible values and their probabilities or densities.
Table
A structured format listing possible values of a discrete random variable alongside their probabilities.
Range
The set of all possible values a random variable can take, bounded by minimum and maximum endpoints.
Probability
A measure of the likelihood that a random variable falls within a specified interval or set of values.
Bar Graph
A chart displaying probabilities of discrete random variables as bars, with gaps indicating unavailable values.