If you have a data set of n items, the data are continuous variables, the data set is unimodal, and the data set is too skewed to use the normal distribution, which probability distribution should you use to calculate probabilities? Discrete uniform distribution Binomial distribution Poisson distribution Hypergeometric distribution Geometric distribution Uniform continuous distribution Standard normal distribution Exponential distribution Triangular distribution None of the above

The probability distribution will be used.

Answered: If you have a data set of n items, the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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If you have a data set of n items, the data are continuous variables, the data set is unimodal, and the data set is too skewed to use the normal distribution, which probability distribution should you use to calculate probabilities?

		Discrete uniform distribution
		Binomial distribution
		Poisson distribution
		Hypergeometric distribution
		Geometric distribution
		Uniform continuous distribution
		Standard normal distribution
		Exponential distribution
		Triangular distribution
		None of the above

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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