Probability distributions

This essay focuses on Probability distributions. Probability distributions are statistical functions that describe the likelihood of obtaining possible values that a random variable can take.

Probability distributions

and I am suppose to answer the questions in the designated area. The peer review should be answered in the designated form that I attached. I have a proctored exam scheduled for 12-18-21. The class is Math 1342 Statistics. I am allowed 2 hours for the exam. I think you would have to remotely access the exam when I start the exam This is an example of what is on the test Item Selection The probabilities that a customer selects 1, 2, 3, 4, and 5 items at a convenience store are 0.10, 0.33, 0.17, 0.29, and 0.33, respectively. Part 1 of 2 Your Answer is correct Construct a probability distribution for the given data. X 1 2 3 4 5 PX 0.10 0.33 0.17 0.29 0.33 Part 2 of 2 Your Answer is correct.

Distributions

Probability distributions are statistical functions that describe the likelihood of obtaining possible values that a random variable can take. In other words, the values of the variable vary based on the underlying probability distribution.

Suppose you draw a random sample and measure the heights of the subjects. As you measure heights, you create a distribution of heights. This type of distribution is useful when you need to know which outcomes are most likely, the spread of potential values, and the likelihood of different results.

type

Discrete probability functions are also known as probability mass functions and can assume a discrete number of values. For example, coin tosses and counts of events are discrete functions. These are discrete distributions because there are no in-between values. For example, you can have only heads or tails in a coin toss. Similarly, if you’re counting the number of books that a library checks out per hour, you can count 21 or 22 books, but nothing in between.

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