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Which of the following statements is/are correct If A and B are two symmetric matrices of order n then 1. A + B is also a symmetric matrix. 2. AB is a symmetric matrix
Which of the following statements is/are true If A and B are two skew-symmetric matrices of order n then 1. A ⋅ B is a skew symmetric matrix when AB = - BA 2. A ⋅ B is a symmetric matrix when AB = BA
Which of the following statements is/are true  If A is a symmetric matrix of order n then 1. k ⋅ A is a symmetric matrix where k is any real number. 2. Am is a symmetric matrix where m ∈ N
Which of the following statements is/are true: If A is a skew-symmetric matrix of order n then 1. A2m is a symmetric matrix where m is a positive integer. 2. A2m + 1 is a skew - symmetric matrix where m is a positive integer.
Which two of the following statements are true?  a) Skewness studies the flatness or peakedness of the distribution  b) A positively skewed distribution curve is stretched more to the right than to the left  c) On the basis of empirical relationship between mean, mode and median for moderately asymmetrical distribution, Karl Pearson's coefficient of skewness can be measured by 3 (Mean -Median) divided by Standard Deviation  d) If mean < mode, the distribution is positively skewed  Choose the correct option from those below: 
Many studies have demonstrated that the distribution of similarity scores assumes a peculiar shape that resembles a highly skewed normal distribution with a long tail on one side. The distribution matches the _______
Statement I Both the probable error and standard error of the coefficient of correlation are different.
Statement II When a sampling distribution of mean is prepared by taking small sized samples from a normally distributed population, the distribution takes the shape of normal distribution.
Statement I Exponential probability distribution has the mean = $$\frac{1}{\mu }$$ and variance = $$\frac{1}{{{\mu ^2}}}$$
Statement II The mean, median and mode do not coincide in the normal distribution.
Statement III The binomial distribution is symmetrical for any value of p (probability of success).
If a matrix A is both symmetric and skew symmetric, then
If a matrix A is Symmetric as well as Skew-Symmetric, then: