Suppose that Y has a binomial distribution based on n trials and success probability p . Then p ^ n = Y / n is an unbiased estimator of p . Use Theorem 9.3 to prove that the distribution of ( p ^ n − p ) / p ^ n q ^ n / n converges to a standard normal distribution . [ Hint: Write Y as we did in Section 7.5.]
Suppose that Y has a binomial distribution based on n trials and success probability p . Then p ^ n = Y / n is an unbiased estimator of p . Use Theorem 9.3 to prove that the distribution of ( p ^ n − p ) / p ^ n q ^ n / n converges to a standard normal distribution . [ Hint: Write Y as we did in Section 7.5.]
Solution Summary: The author proves that the distribution of (stackrelp_n-p
Suppose that Y has a binomial distribution based on n trials and success probabilityp. Then
p
^
n
=
Y
/
n
is an unbiased estimator of p. Use Theorem 9.3 to prove that the distribution of
(
p
^
n
−
p
)
/
p
^
n
q
^
n
/
n
converges to a standard normal distribution. [Hint: Write Y as we did in Section 7.5.]
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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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License