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The concepts of bernoulli trials and the binomial distribution in statistics. Bernoulli trials are defined as sequences of trials with two possible outcomes, constant probability of success, and trial independence. The binomial distribution is the sampling distribution of the total number of successes in a given number of independent bernoulli trials. Formulas for the mean and standard deviation of the binomial distribution. A practice problem is included to calculate the probability of obtaining a certain number of successes in multiple bernoulli trials, using the given information about the probability of success in a single trial.
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STATISTICS 301 TA: Perla E. Reyes DISCUSSION 5 Pag. 1
Suppose we observe a sequence of n trials. Let Xn denote the outcome of the nth trial. The trials are called Bernoulli Trial if the following assumptions are satisfied:
(i) Each trial results in one of two possible outcomes, which for convenience are labeled success and failure. (ii) The probability of obtaining a success remains constant from trial to trial. This constant probability of success is denoted by the number π or p. The probability of a failure is denoted by (1 − π) or q. (iii) The trials are independent.
If random variables X 1 , X 2 , · · · , Xn are Bernoulli trials,
Xi =
1 success in ith^ trial 0 failure in ith^ trial
P (Xi = 1) = π, P (Xi = 0) = 1 − π, i = 1, 2 , · · · , n.
Let X = X 1 + X 2 + · · · + Xn, which is the total number of successes. The sampling distribution of X is given by
P (X = x) =
n! x!(n − x)!
πx(1 − π)n−x^ for x = 0, 1 , · · · , n.
Then we say that the random variable X has the binomial distribution, denoted by
X ∼ Bin(n, π).
(i) The mean of binomial distribution is
μ = nπ
(ii) The standard deviation of binomial distribution is
σ =
nπ(1 − π)
(a) There will be one red-flowered plants?
(b) There will be 1 or more red-flowered plants?
[email protected] www.stat.wisc.edu/∼reyes/ B248MSC, TTh 11:30-12: