In statistics, symmetrical distribution is a type of distribution where the data is evenly distributed around the center point. This means that if you were to plot the data on a graph, it would look like a bell curve. Symmetrical distribution is also sometimes called normal distribution. How many shapes of distribution are there? There are three shapes of distribution: symmetric, left-skewed, and right-skewed.

What is a simple test to determine whether variables are distributed symmetrically? There are a few tests that can be used to test for symmetry in a distribution, but the most common and simplest test is the Pearson's chi-squared test. This test is based on the comparison of the observed distribution of values to the expected distribution if the variables are distributed symmetrically. The chi-squared statistic is used to determine whether the difference between the observed and expected distributions is statistically significant. If the chi-squared statistic is large, then it is unlikely that the difference between the distributions is due to chance, and the variables are likely not distributed symmetrically. What term is used to describe the measure of a symmetry of the distribution of real valued random variable? The term used to describe the measure of a symmetry of the distribution of a real valued random variable is called the skewness.

Which of the following is true for a symmetrical distribution? A symmetrical distribution is a type of probability distribution in which the probabilities of occurrence for both values of a random variable are equal. In other words, if there is a probability of x% for a certain value to occur, then there is also a probability of (100-x)% for the other value to occur.

What value is the best representation for a symmetrical distribution? There is no definitive answer to this question, as there are many possible values that could be considered "best" depending on the specific circumstances. However, some commonly used values for symmetrical distributions include the mean, median, and mode.