Consider you go to a COVID vaccination centre to getyourself vaccinated. Let the random variable X denotes the time that you have to wait in the queue until it is your turn for vaccination. The probability that there is no queue and you arevaccinated immediately as soon as you reach the centre is 1/4.The probability that there is queue and you have to wait forsome time is 3/4 and random variable X can be modelled as an exponential random variable with parameter (λ = 1/3). (i) Find the CDF of the random variable X. (ii) Pictorially represent CDF of random variable X. What do you infer from the CDF plot? (iii) Find P(0 < X ≤ 1) and P(0 ≤ X ≤ 1) (Note: The CDF of an exponential distribution is given by P(X≤x) = 1-?^-x*? )
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Consider you go to a COVID vaccination centre to getyourself vaccinated. Let the random variable X denotes the time that you have to wait in the queue until it is your turn for vaccination. The
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