IVF is a procedure by which egg cells are fertilized by sperm outside the womb. Let us assume that any time the procedure is performed by the probability of success (meaning a live birth) is approximately 20%. Let us also assume, though this is unlikely to be true, that the probabilities of success at separate trials are independent. Imagine, first that a woman has the procedure done twice.   Previous questions asked me to work out the probability of exactly two live births (0.04) and the probability of no live births (0.64)    (c) What is the probability that she will have at least one live birth? I believe the working for this is P(one birth) = 1 - (no birth) = 1-0.64  which equals .36.   (.36 is the correct answer is this the correct working?) Imagine, next, that another woman has the procedure done five time. d) What is the probability that she will have at least one live birth?

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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.