For discrete distributions, suppose the variable X takes the specific value x with probability P(X=x)
Then add together x * P(X = x) for all possible values of x.
For continuous distributions, suppose the probability distribution function of the variable X is f(x).
Then the mean is the integral of x*f(x) with respect to x, taken over all possible values of x.
lowest
to quickly and effectively represent data
Frequency and cumulative frequency are two types of frequency distributions. These are frequency tables that show statistical data for different types of frequencies that include absolute, relative, and cumulative frequencies. There are mathematical formulas used to calculate these frequencies.
Organizing the data into a frequency distribution can make patterns within the data more evident.
It is equal to zero in ALL distributions.
lowest
Yes.
to quickly and effectively represent data
1) Ungrouped2) Grouped 3) Qualitative
Frequency and cumulative frequency are two types of frequency distributions. These are frequency tables that show statistical data for different types of frequencies that include absolute, relative, and cumulative frequencies. There are mathematical formulas used to calculate these frequencies.
It is a mathematically calculated summary statistic. With discrete distributions it is the arithmetic mean whereas with a continuous distribution it is the value of the random variable (RV) such that it divides the area under the probability distribution curve in half.
Organizing the data into a frequency distribution can make patterns within the data more evident.
It is equal to zero in ALL distributions.
find the mean in a set of frequency distribution
It is z = -0.5244
The Gaussian curve is the Normal distributoin curve, the commonest (and most studied) of statistical distributions.
The triangular, uniform, binomial, Poisson, geometric, exponential and Gaussian distributions are some that can be so defined. In fact, the Poisson and exponential need only the mean.