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

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

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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P(X=x) -2 0.30 -1 0.15 0.20 1 0.20 0.15 a) Explain two reasons why the above distribution is a valid probability distribution.
The Poisson distribution is an example of a continuous probability distribution. Select one: O True O False
People's arrivals at a register occur at a constant rate of 7 per hour. It will take about 10 minutes to service each person and that an unlimited number of servers are available, so no one has to wait for service. For a given hour, find the probability exactly 7 customers arrive. For a given hour, find the probability fewer than 3 customers arrive. For a given hour, find the probability at least 2 customers arrive. Find the mean and variance of the total service time for 1 hour. Find the probability that exactly 5 customers arrive between 2 and 4 p.m. Find the probability that exactly 5 customers between 1 and 2 p.m., and between 3 and 4 p.m.
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Help during the pandemic, hospital ship mercy parked near LA to provide extra beds to the local hospitals in LA area. To describe probability of beds per rooms, you describe this as what type of distribution? binomial poisson normal continuous
Instruction: Distinguish the specified items asked for. Distinguish Continuous Probability Distribution from Discrete Probability Distribution.
The probability distribution below is for the random variable X = the number of credits taken by a randomly selected first-year student at a large state university. Credits 14 15 16 17 Probability 0.05 0.65 0.20 0. 10 Show that the probability distribution of X is valid.
The Poisson probability distribution is a function of an integer variable. True or False
College students are randomly selected in groups of three, the random variable x is the number in the group who say that they take one or more online courses. Determine ether a probability distribution is given. If a probability distribution is given find its mean and standard deviation. If a probability distribution is not given, identify the requirements that are not satisfied does the table show a probability distribution
please aanswer
The following table shows the probability function for the random variable X, number of wingbeats per second of certain species of large moths while in flight. Find the table for the cumulative distribution function The probability that the number of beats per second is less than or equal to 8 is Answer
Consider the probability distributions you have studied so far. Which of the following distributions apply to discrete random variables? (Select all that apply.) Binomial Distribution Poisson Distribution Geometric Distribution Normal Distribution Which apply to continuous random variables? (Select all that apply.) Binomial Distribution Poisson Distribution Geometric Distribution Normal Distribution Under what conditions can the binomial distribution be approximated by the normal? Let n be the number of trials, p be the probability of success on each trial, and q = 1 − p. n ≥ 30 n ≥ 100 and np ≥ 10 n ≥ 100 and np < 10 np > 5 and nq > 5 np ≤ 5 and nq ≤ 5 Under what conditions can the binomial distribution be approximated by the Poisson? Let n be the number of trials, p be the probability of success on each trial, and q = 1 − p. (Select all that apply.) n ≥ 30 n ≥ 100 and np ≥ 10 n ≥ 100 and np < 10 np > 5 and nq > 5 np ≤ 5 and nq ≤ 5

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		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