- #1
jim1174
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find the standard deviation for the binomial distribution which has stated values of n=50 and p=0.3. use normal distribution to approximate the binomial distribution and find probability of (a) x> 13 and (b) 13<x 17.
The formula for calculating standard deviation for a binomial distribution is: √(n * p * (1-p)), where n is the number of trials and p is the probability of success.
Standard deviation is the square root of the variance, which is the average of the squared differences between each data point and the mean. In a binomial distribution, the variance is equal to n * p * (1-p).
Standard deviation measures the spread of data around the mean, so it is important in understanding the variability of the data in a binomial distribution. It also helps identify outliers and determine the probability of outcomes falling within a certain range.
To find the probability of getting more than 13 successes, you would use the formula for the cumulative probability of a binomial distribution: P(x > 13) = 1 - binom.dist(13, 50, 0.3, TRUE). To find the probability of getting between 13 and 17 successes, you would use the formula: P(13 < x < 17) = binom.dist(17, 50, 0.3, TRUE) - binom.dist(13, 50, 0.3, TRUE).
Increasing the value of n while keeping p constant will result in a larger standard deviation, as there are more trials and therefore more potential for variability. Similarly, increasing the value of p while keeping n constant will also result in a larger standard deviation, as there is a higher probability of success in each trial. Conversely, decreasing n or p will result in a smaller standard deviation.