Any collection of information that makes a form to giving the required information is called data. Simple data format are used to compare the collection of data. Graphs are helping to analysis the various types of data. For example data analysis is statistics, bar graphs, histogram graphs, pie charts, and line graphs are used to simply analysis the data. In this article, we are going to discuss about simple data format with suitable example problems.
Example Problem for Simple Data Format:
1. Analyze the statistical data using the given data, find the mean, mode, median, and range of the given data.
14, 7, 13, 12, 10, 10, and 11
Solution:
Rearrange the data for ascending order.
7, 10, 10, 11, 12, 13, 14
Mean:
Mean is the sum of data divided by the number of data in the given data.
Mean = `("sum of data")/ ("number of data")`
Mean = `77/7`
= 11
Mode:
Mode is the most common value in given data.
Most common value is 10.
Therefore, mode is 10.
Median:
Median is a middle number else we have two middle value means; we find the average of their two values is median. We need to find it, we should make to arranged in ascending order from the given data.
Median:
In this problem we have a middle number.
Therefore, Median is the middle number 11.
Range:
Range is difference between maximum and least values in the given data.
Range = maximum value – minimum value
= 14 - 7.
Range = 7.
More Example Problem for Simple Data Format:
2. Analyze the data and create histogram the given simple data.
Solution:
histogram
The above histogram analyzed the given data that which one is high range and low range. This is the needed histogram.
Explanation:
Step 1:
First represented, the class intervals in the x-axis with the value 0 to 10, 10 to 20, 20 to 30, 30 to 40, and 40 to 50
Step 2:
Then represented the frequencies in the y-axis, which ranged as 250, 100, 50, 175, and 75
Given frequencies are represents to each area of rectangle in the histogram.
Step 3:
From the table values according to the class intervals and the frequencies are drawn. This is the required histogram for the simple data.