In this lecture, we will go through the content of Business Statistics Paper II.
In this lecture, we introduce the concept of probability and some terminologies required to understand the concept were illustrated.
In this lecture, some terminologies required to understand the concept of probability were illustrated.
In this lecture, some terminologies required to understand the concept of probability were illustrated.
In this lecture, we provide the classical definition of probability and some examples were illustrated to understand the concept.
In this lecture, some examples were illustrated to understand the concept of computation of probability.
In this lecture, we illustrate the operations of combination of events and addition law of probability is given.
In this lecture, some examples were illustrated to understand the application of addition law of probability.
In this lecture, we will learn the concept of conditional probability and multiplication law of probability.
In this lecture, we will illustrate some examples to understand the conditional probability and application of multiplication law of probability.
In this lecture, some other examples on probability were illustrated to understand the probability.
In this lecture, we will learn the concept of random variable and probability distribution.
In this lecture, we will learn the Binomial distribution : definition and some properties.
In this lecture, some examples on computation of probabilities using Binomial distribution and finding the parameters of Binomial distribution were illustrated.
In this lecture, we will introduce the normal distribution and its probability density function (p.d.f.).
In this lecture, we will state the properties of normal distribution along with concept of standard normal distribution.
In this lecture, some examples on finding the probabilities using normal distribution were illustrated.