If A is invertible, then the columns of A 1 are linearly independent. Explain why. A. If A is invertible, then the rows of A are linearly independent, which implies that the columns of A¯' are linearly independent. B. The columns of A invertible and its columns are linearly independent. are linearly independent because A is a square matrix, and according to the Invertible Matrix Theorem, if a matrix is square, it is O C. According to the Invertible Matrix Theorem, if a matrix is invertible its columns form a linearly dependent set. When the columns of a matrix are linearly dependent, then the columns of the inverse of that matrix are linearly independent. Therefore, the columns of A are linearly independent. 1 O D. It is a known theorenm that if A is invertible then A must also be invertible. According to the Invertible Matrix Theorem, if a matrix is invertible its columns Click to select your answer.

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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.