Labor relation A union representative 60 % claims of the union membership will vote in favor of a particular settlement. A random sample of 100 members is polled, and out of these, 47 favor the settlement. What is the approximate probability of 47 or fewer in a sample of 100 favoring the settlement when 60 % of all the membership favor the settlement? Conclusion? Approximate a binomial distribution with a normal distribution
Labor relation A union representative 60 % claims of the union membership will vote in favor of a particular settlement. A random sample of 100 members is polled, and out of these, 47 favor the settlement. What is the approximate probability of 47 or fewer in a sample of 100 favoring the settlement when 60 % of all the membership favor the settlement? Conclusion? Approximate a binomial distribution with a normal distribution
Solution Summary: The author calculates the probability of 47 or fewer in a sample of 100 favoring the settlement when 60% of all the members favor it.
Labor relation A union representative
60
%
claims of the union membership will vote in favor of a particular settlement. A random sample of
100
members is polled, and out of these,
47
favor the settlement. What is the approximate probability of
47
or fewer in a sample of
100
favoring the settlement when
60
%
of all the membership favor the settlement? Conclusion? Approximate a binomial distribution with a normal distribution
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