Statistical graphs
Hello students, in mathematics we summarize the data by various statistical tools and that data is recorded somewhere after that the data is displayed by some graphical method. So in this blog we are going to discuss the statistical graphs. Statistics graph is used to show the observed and recorded data that is obtained from the various types of surveys or experiments. Generally we study the eleven types of graphs. It is always a big task to choose which type of graph for which type of data should be used. (know more about cbse sample papers , here)
Each type of Statistics graphs has advantage and disadvantage. Let’s discuss the statistical graphs one by one: -
Pictograph: - This type of graph handles the large data sets and it easy to read and understand. It uses an icon to show the data values quantity.
Line plot: - It deals with only small type of data. The data is plotted on the line that shows the range.
Pie chart: - This type of graph shows the data with a label and percentage. Data is divided into different pie sections and each pie section is labeled.
Map chart: - As name implies, it divides the data, according the shaded map sections. It does not give exact numerical values.
Histogram: - It is used with the continuous data in the form of columns.
Bar graph: - It is used with the discrete data in the form of columns. In this we can easily compare the two or more data sets.
Line graph: - It is only used with the continuous data and we can also compare the multiple continuous data sets that are plots as points.
Frequency polygon: - Made from the histograms.
Scatter plot: - It shows the relationship between the two experiment factors.
Steam and leaf plot: - Data are recorded in the rows.
Box plot: - It handles very large data sets and gives a five point summary and In the next session we will discuss about Box and Whisker plots