In this video explaining binomial conditions. These condition must satisfy. this is easy to understand. The binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials where each trial has the same probability of success. It is commonly used in statistical analysis to model a wide range of phenomena including coin tosses the number of defective items in a sample and the number of correct answers on a multiple-choice test.
#easymathseasytricks #binomialdistribution
Joint Probability & Sampling Theory: 18MAT41 & 17MAT41
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Probability Distributions: 18MAT41 & 17MAT41
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Calculus of Complex Functions: 18MAT41 & 17MAT41
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Curve fitting & Statistical Method 18MAT41 17MAT31
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LAPLACE TRANSFORM : 18MAT31
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Fourier Transforms,Z-transform : 18MAT31 & 17MAT31
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Fourier Series: 18MAT31 & 17MAT31
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Calculus of Variation & Numerical Methods 18MAT31
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Numerical Methods ODE's: 18MAT31 & 17MAT41
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COMPLEX NUMBER: 18MATDIP31
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Differential Calculus:18MATDIP31
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Ordinary differential equation 18MATDIP31,17MATDIP31
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Integral Calculus 18MATDIP31,17MATDIP31
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Vector differentiation 18MATDIP31,17MATDIP31
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Differential Calculus & Partial Differential 18MATDIP31,17MATDIP31
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18MATDIP41 Linear Algebra
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18MATDIP41 Numerical Methods
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18MATDIP41 Higher order ODEs
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18MATDIP41 Partial Differential Equations
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