discrete probability distribution It is estimated that 1 in 59 students in Canada have been diagnosed withAustism Spectrum Disorder. In a class of 30 students, what is theprobability that at least 3 have been diagnosed with Autism?1Add file

Name: discrete probability distribution It is estimated that 1 in 59 student
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: discrete probability distribution It is estimated that 1 in 59 students in Canada have been diagnosed withAustism Spectrum Disorder. In a class of 30 students, what is theprobability that at least 3 have been diagnosed with Autism?1Add file

It is given that, 1 in 59 students in Canada has been diagnosed with Autism Spectrum Disorder. i.e.…

Answered: It is estimated that 1 in 59 students…

Math

Probability

It is estimated that 1 in 59 students in Canada have been diagnose Austism Spectrum Disorder. In a class of 30 students, what is the probability that at least 3 have been diagnosed with Autism?

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...

See similar textbooks

Similar questions

Discrete Probability Distributions A six-sided die is rolled 15 times. What is the probability of getting value of 5 for the following conditions: a. P(x=8) b. P(X >9) c. P(X<5)
The random variable, “number of people who arrive at a store during a 15-minute interval,” is an example of __________. not a random variable a continuous random variable an experimental random variable a discrete random variable
Computing Probabilities In Exercise 1 the random variable x is normally distributed with mean m=174 and standard deviation s=20. Find the indicated probability. 1. p(x<170)
Handwriting
O RANDOM VARIABLES AND DISTRIBUTIONS Shasia Discrete probability distribution: Basic Fill in the P(x=x) values to give a legitimate probability distribution for the discrete random variable x, whose possible values are -1,3, 4, 5, and 6. Value x of X P(x = x) 1 0.10 圖 3 4 0.14 0.30 Explanation Check 2UZI MCUraw HlLEGUcation. All Rights Reser/ed. Terms of Use I Privacy Accessibility
Distribution of first digits (Benford's Law) Digit 1 2 3 4 5 Probability 0.301 0.176 0.125 0.097 0.079 Digit 6 7 8 9 Probability 0.067 0.058 0.051 0.046 First digits in allegedly fraudulent checks First digit 1 2 3 4 5 6 7 8 9 Frequency 36 25 28 20 23 17 15 17 77 The first significant digit in any number must be 1, 2, 3, 4, 5, 6, 7, 8, or 9. It was discovered that first digits do not occur with equal frequency. Probabilities of occurrence to the first digit in a number are shown in the accompanying table. The probability distribution is now known as Benford's Law. For example, the following distribution represents the first digits in 188 allegedly fraudulent checks written to a bogus company by an employee attempting to embezzle funds from his employer. a) What is the test statistics? b) What is the p-value?
Conditional probability distribution Y given that X = 0.5 y f (x, y) -1.0 -2 1/3 -0.5 -1 1/6 0.5 1 1/6 1.0 2 1/3 fxv (0.5, y) fyix(y) = fx(0.5)
Fruit Fly Lifetimes Suppose that the probability function in the table below reflects the possible lifetimes (in months after emergence) for fruit flies. Let the random variable X measure fruit fly lifetimes (in months). Fruit fly lifetimes (in months) 1 2 3 4 5 6 p(x) | 0.30 ? 0.20 0.1o 0.10 0.05 (a) What proportion of fruit flies die in their second month? Enter the exact answer. P(X = 2) = i eTextbook and Media (b) What is the probability that a fruit fly lives more than four months? Enter the exact answer. P(more than four months) = eTextbook and Media (c) What is the mean lifetime for a fruit fly? Enter the exact answer. i months eTextbook and Media (d) What is the standard deviation of fruit fly lifetimes? Round your answer to two decimal places, O = i months eTextbook and Media
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
Binomial distribution, expected value and variance Find the expected value (mean), the variance, and the standard deviation for each of the following cases for a binomial random variable X. a) binomial X, with n = 25 and p = 0.3 b) binomial X, with n = 86 and p = 0.6 BONUS(3): Consider th case of a binomial random variable with n = 48 and p = 0.25. Find the range of Z-scores corresponding to the following range of values for X: 8.5 <= X <= 15.5
Random Variable Let’s have X a random variable of which the distribution of probability is binomial B(5, p). Knowing that V(X) (variance) = 5/4: calculate p Calculate P(X≥ 2)
None