The frequentist interpretation of probability is a way of understanding the likelihood of something happening based on past experiences or observations. For example, if you flip a coin many times and it lands on heads half the time and tails half the time, the probability of the coin landing on heads is 50%. If you roll a die many times and each number comes up about the same number of times, the probability of rolling a specific number is about 1/6, or about 17%. The frequentist interpretation helps us understand probability by looking at what has happened in the past and using that information to make predictions about the future.
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Binomial Distribution in very simple words
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The binomial distribution is a probability distribution that describes the outcome of a series of independent "yes/no" experiments...
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