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An introduction to random variables, their types (discrete and continuous), and the computation of probabilities associated with them. It also covers the properties of discrete probability distributions and includes exercises to practice identifying discrete and continuous random variables, as well as finding their probabilities and properties.
Typology: Summaries
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Statistics and Probability Week 1
It is a variable (typically represented by X) that has a single numerical value, determined by chance, for each outcome of a procedure (Triola, 2018).
CONTINUOUS random variableCONTINUOUS random variable
DISCRETE random variableDISCRETE random variable
6. U: The time needed to finish the test. 7. V: The amount of sugar in a cup of coffee. 8. W: The number of accidents per year at an intersection. 9. X: The average amount of electricity consumed per household per month. 10. Y: The number of deaths per year attributed to lung cancer. Instruction: Determine if the given statement is discrete or continuous.
6. U: The time needed to finish the test. 7. V: The amount of sugar in a cup of coffee. 8. W: The number of accidents per year at an intersection. 9. X: The average amount of electricity consumed per household per month. 10. Y: The number of deaths per year attributed to lung cancer. Instruction: Determine if the given statement is discrete or continuous.
Three coins are tossed. Let "Z" be the random variable representing the number of heads that occurs. Find the values of the random variable "Z" with its corresponding probabilities.
Two fair dice are thrown simultaneously. Let the random variable "X" as the sum of the two spots in throwing the two fair dice simultaneously and write its corresponding probabilities.
Instruction: Determine whether the given table is probability distribution or not.
The table below is a probability distribution of a discrete random variable X. Find the following probabilities.
How many ways you can choose 1 pen?
How many ways you can choose 2 pens?