31:58 normal distribution, also known as a Gaussian distribution, is defined by two parameters: the mean, represented by the symbol μ, and the variance, represented by the symbol σ2. A standard normal distribution has a mean of 0 and a variance of 1. It is also known as a z distribution.
15:18 Binomial distribution mean np Variance npq Std devn _/npq Moment of coefficient of skewness = (q-p)/root npq Moment of coefficient of kurtosis = (1-6pq)/npq Shape of Binomial distribution changes as p increases for fixed value of n P=q=½ symmetrical P≠q≠½ asymmetrical p>q negatively skewed , p
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31:58
normal distribution, also known as a Gaussian distribution, is defined by two parameters: the mean, represented by the symbol μ, and the variance, represented by the symbol σ2.
A standard normal distribution has a mean of 0 and a variance of 1. It is also known as a z distribution.
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15:18
Binomial distribution
mean np
Variance npq
Std devn _/npq
Moment of coefficient of skewness = (q-p)/root npq
Moment of coefficient of kurtosis = (1-6pq)/npq
Shape of Binomial distribution changes as p increases for fixed value of n
P=q=½ symmetrical
P≠q≠½ asymmetrical
p>q negatively skewed , p
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