Descriptive Statistic review helps in describing data in quantitatively form. Mean is the best descriptive form of the Descriptive Statistics .It is one of the most informative and accurate measure of the central tendency. Mean of the confidence interval data gives us a result value which is around the Mean and where the true mean value is located
Descriptive Statistics provide simple summary about the data and the measures .They are very different from inferential statistics. Descriptive Statistics tells exactly what the data shows and it gives a manageable form of data with quantitative description .It is used in large group of data to give the result in a sensible way and helps to reduce the data in a simpler form
It provide the historical details of the data as past details is useful in analyzing any Set of data .It shows patters and trends in a set of data and used to explore one variable for the time .It is analysis of data for the whole set of data. We can also define relationship between two variables with the help of Correlation and regression
Types of Descriptive Statistics
1. Measure of Central Tendency’-It includes mean, median, mode
2. Measure of Dispersion –It includes Standard Deviation, skewness, minimum and maximum variable
Bivariate Data Analysis includes or comparison between two variables, if there is a relationship between the variables. Mostly we can see that the independent variables are represented by the columns...Read More
Numerical Descriptive Statistics is the collection of different techniques like measures of central tendency, Measures of variability, Measures of relative standing and measures of linear relationship.
The...Read More
Statistics word has been derived from the word “status” which means in its original form as only the collection of the numerical data which was useful for a state. The initial statistical overview included the collection of taxes, distribution of land and collection of revenue. But now when we look at modern Statistics overview, there exist hardly any field where sta...Read More
While performing any statistical investigation, we need to collect the raw data. But the data that we collect in the original form is so huge and endless that we cannot come to any conclusions and predictions just by looking at it at a glance. We need to process it, arrange it in some desired order and use them for certain analysis. So we can say that we use the...Read More
Statistics is widely used in modern times. At initial stage it was used to collect the information about public affairs, but gradually the use of Statistics has been extended in all scientific applications. We use statistics in every Sphere of life where mass of quantitative data is needed and its simplification and analysis is involved. Earlier ...Read More
When a large amount of data or observations are summed up together to produce some statistical output is termed as descriptive Data Analysis. It helps us to produce the summary of the data. It gives us the simple summary about the sample of data collected and the measures to be taken on that data. Whenever we need to describe a large amount...Read More
Linear correlation is a widely used to measure the strength of relation between two variables in Statistics. For this it uses a Correlation Coefficient. The Correlation Coefficient is basically a coefficient which shows the strength of association of data or flow of data between two variables. The linear correlation statistics is used to find the linear association be...Read More
Probabilities in Statistics can be defined as the possibility of occurrence of any event. Now let us look at statistics Probability in details:
In case of tossing coin, there is a possibility of getting either head or tail on tossing. It means that there are two possibilities. The possibility of getting a head is ½ and the possibility of getting a tail is also ½.
We als...Read More