Which of the following is NOT an assumption of the Binomial distribution?O All trials must be identical.O The number of successes in the trials is counted.O None of the other answers are correctAll trials must be independent.O The probability of success is equal to .5 in all trials.Each trial must be classified as a success or a failure.

here use basic of binomial distribution

Answered: Which of the following is NOT an…

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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q10
According to the Current Population Survey (Internet Release date: September 2004), 42% of females between the ages of 18 and 24 years lived at home in 2003. (Unmarried college students living in a dorm are counted as living at home). Suppose a survey is administered today to 425 randomly selected females between the age of 18 and 24 years and 204 respond that they live at home. 1. Does this define a binomial distribution? Justify your answer 2. If so, can you use the normal approximation to binomial distribution? Justify your answer and state what the mean and standard deviation of the normal approximation are. 3. Using the binomial probability distribution, what is the probability that at least 204 of the respondents living at home under the assumption that the true percentage is 42%? 4. Using the normal approximation to binomial, what is the probability that at least 204 of the respondents living at home under the assumption that the true percentage is 42%?
The X2 distribution is used for the comparison of two ______.
Number 1
An IPHONE has an advertised failure rate of 0.01 per hour. The failure rate is constant and the exponential distribution applies. (a) What is the mean time to failure? (b) What is the probability that 300 hours will pass before a failure is observed? (a) The mean time to failure is hours. (Type an integer or a decimal. Do not round.) (b) The probability that 300 hours will pass before a failure is observed is (Round to four decimal places as needed.)
Fusi Q1) a- if the percentage infection of a disease in a country was 0.005. Thus, using binomial distribution the probability that there was no infection by that :disease in a town of 100,000 population is 0.00467 O 0.00476 O 0.00647 O 0.00674 O none of all above O
Q43. If the difference between three times of mean and three times of variance is two for a binomial probability distribution for 6 trials then the probability of getting exactly 5 success is? < (a) (b) 2 35 4 35 25 36 (d) none of the above
Q4
Please answer this ASAP with complete solution
Define negative binomial distribution.
1. Define normal distribution. Derive normal distribution as a limiting form of binomial distribution.
Under what conditions will you use the Poisson and Binomial distributions?

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