standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
frequency distribution contain qualitative data
It is a positively skewed distribution.
A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.
The normal distribution allows you to measure the distribution of a set of data points. It helps to determine the average (mean) of the data and how spread out the data is (standard deviation). By using the normal distribution, you can make predictions about the likelihood of certain values occurring within the data set.
It tells you that that number has the most part of everything.
Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ
It is a measure of how variable the data is. The average distance from the average.
The mean may be a good measure but not if the data distribution is very skewed.
The mode is the value with the most data. Unfortunately it tells you nothing about the rest of the distribution. The mean and median provide more useful information in most situations.
no, it's quantitative data. Quantitative data is something you can measure - weight, length, height, time etc. Qualitative data is something you can't measure e.g. how happy people are, what people feel about something
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
The best measure of variability depends on the specific characteristics of the data. Common measures include the range, standard deviation, and variance. The choice of measure should be made based on the distribution of the data and the research question being addressed.
There is no meaningful average wen data are categorical (qualitative). Also, the arithmetic mean is not a good measure of central tendency when the data distribution is skewed.