Data Handling II Exercise 23.3 - Free PDF
FAQs on RD Sharma Class 7 Solutions Chapter 23 - Data Handling II (Ex 23.3) Exercise 23.3
1. How is ``mean '' better than other measures of central tendency?
Mean is the most useful method when the data has no extreme values. Extreme values distort the value of mean due to which it is not able to represent the data correctly. “Arithmetic mean” or simply the “mean” of a given date is defined as the sum of all the values of the data / total number of values. Means give more accurate values than other means of central tendency like mode or median as it covers all values by taking Central value into the consideration. Hence, it is the most useful measure for the calculation of data.
2. What are other measures of Central tendency?
The other measures of central tendency are Median mode and range. Median is another measure of central tendency or another way to express the whole data with the help of a representative number. Median is defined as the middle value of data when the data is arranged in ascending or descending order. The range is useful when we want to know the extent of the data.
3. What are bar graphs and what are the rules to be followed to construct them?
A bar graph is a type of pictorial representation which is easy to interpret a graph, numerical data is represented by rectangles called bars, of uniform or equal width with equal spacing between the bars. Rules to follow for the construction of bar graphs are as follows:
The graph should always have a title.
The x-axis and y-axis should be labeled as to what they represent.
Scales used should be mentioned.
All bars should be of the same width.
Spaces between the bars should be of the same width.
4. What is the use of the double bar graphs?
The bar graph summarizes the large set of data in simple visual form. It displays each category of data in the frequency distribution. It clarifies the trend of data better than the table. It helps in estimating the key values at a glance.
5. What is probability?
Probability is just measured by the chance probability of an event happening.
The probability of an event is expressed as a fraction. It can also be expressed as a decimal or percentage.
Probability of an event= Number of favorable outcomes / total number of possible outcomes. Probability of sure events- o for impossible events probability is zero for other events probability lies between 0 and 1.