What is the standard deviation for each binomial random variable. Round to 4 decimal places n= 52 Π= .80
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
What is the standard deviation for each binomial random variable. Round to 4 decimal places
n= 52
Π= .80
Binomial Distribution :
The binomial probability is a type of discrete probability distribution that can take random values on the range of , where is the sample size. The main properties of the binomial distribution are :
- It is discrete, and it can take values from 0 to n, where n is the sample size
- The type of skewness depends on the parameters n and p
- It is determined by two parameters: the population proportion of success, the sample size (or number of trials)
- The mean of the binomial distribution is and its standard deviation is .
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