Courses
Courses for Kids
Free study material
Offline Centres
More
Store Icon
Store

Quick Study with RS Aggarwal Solutions Class 10 Chapter 9 - Mean, Median & Mode (Ex 9B) Exercise 9.2

ffImage
banner
widget title icon
Latest Updates

Download RS Aggarwal Solutions Class 10 Chapter 9 - Mean, Median & Mode Exercise 9.2 Free PDF

The RS Aggarwal Solutions for Class 10 Chapter 9 is all about Mean, Median, and Mode. Mean is the average of a set of data values, while the median is the middle value in a group of data values. Mode is the value that appears most often in a set of data values. In this article, we are giving the solutions to the questions asked in the RS Aggarwal Solutions for Class 10 Chapter 9 Exercise 9.2.

Competitive Exams after 12th Science
tp-imag
bottom-arrow
tp-imag
bottom-arrow
tp-imag
bottom-arrow
tp-imag
bottom-arrow
tp-imag
bottom-arrow
tp-imag
bottom-arrow

What is Mean?

The mean of a set of data values is calculated by adding all the data values together and then dividing this sum by the number of data values. For example, if the data values are 2, 4, 6, 8, and 10, the mean is (2+4+6+8+10) ÷ 5, which gives the mean like 35.

What is Median?

The median of a set of data values is the middle value when all the data values are arranged in ascending or descending order. If there are an odd number of data values, then it will be the middle value of the data values. If there are an even number of data values, then it will be the average of the two middle values.

For example, if the data values are 2, 4, 6, 8, and 10, then they are arranged in ascending order as 2, 4, 6, 8, and 10. Thus our median is 6.

But if the data values are 2, 4, 6, 8, and 10, then they are arranged in descending order as 10, 8, 6, 4, and 2. Thus our median is 8.

What is Mode?

The mode of a set of data values is the value that appears most often in the set of data values. If two or more values appear most often, then the value that appears first is the mode.

For example, if the data values are 2, 4, 6, 8, and 10, then the mode is 6. 

But if the data values are 1, 2, 3, 4, and 5, then the mode is 4.

The RS Aggarwal Solutions for Class 10 Chapter 9 are very important for students who are preparing for their examinations. The PDF solutions will help students understand the concepts mentioned in the RS Aggarwal Solutions for Class 10 Chapter 9 better.

RS Aggarwal Solutions Class 10 Chapter 9 - Mean, Median & Mode (Ex 9B) Exercise 9.2 - Free PDF

Free PDF download of RS Aggarwal Solutions Class 10 Chapter 9 - Mean, Median, Mode of Grouped Data, Cumulative Frequency Graph and Ogive (Ex 9B) Exercise 9.2 solved and formulated by the expert mathematics mentors of Vedantu. All Ex 9.2 Questions with Solutions for RS Aggarwal Class 10 Maths will help you to revise and complete the syllabus. Register for online coaching for IIT JEE (Mains & Advanced) and other engineering entrance exams. Register Online for Class 10 Science tuition on Vedantu.com to score more marks in the CBSE board examination.

Every NCERT Solution is provided to make the study simple and interesting on Vedantu. Vedantu.com is the No.1 Online Tutoring Company in India that provides you Free PDF download of NCERT Solutions for Class 10 Maths solved by expert mentors as per NCERT (CBSE) Book guidelines. All chapter-wise questions with solutions will help you to complete and revise the entire syllabus. 

Download the PDF solution for Chapter 9 Exercise 9 for Class 10 RS Aggarwal and give your preparation a big boost. Become more confident by learning the best methods to solve these problems and learn how to save time while appearing in the board exams. 

WhatsApp Banner
Best Seller - Grade 10
View More>
Previous
Next

FAQs on Quick Study with RS Aggarwal Solutions Class 10 Chapter 9 - Mean, Median & Mode (Ex 9B) Exercise 9.2

1. How do you construct a 'less than' type ogive for the problems in RS Aggarwal Class 10 Maths Chapter 9, Exercise 9.2?

To construct a 'less than' type ogive, you must first convert the given frequency distribution into a 'less than' cumulative frequency distribution. The steps are as follows:

  • Take the upper class limits on the x-axis and the corresponding cumulative frequencies on the y-axis.
  • Plot the points (upper class limit, cumulative frequency).
  • Join these points with a smooth, freehand curve. The resulting curve is the 'less than' ogive. It will always be an upward-sloping curve.

2. What is the step-by-step method to find the median from a 'less than' ogive?

Once you have drawn the 'less than' ogive, you can find the median graphically by following these steps:

  • Calculate the value of N/2, where N is the sum of all frequencies.
  • Locate this N/2 value on the y-axis (the cumulative frequency axis).
  • From this point on the y-axis, draw a horizontal line parallel to the x-axis until it intersects the ogive curve.
  • From the point of intersection, draw a vertical line downwards to the x-axis.
  • The point where this vertical line meets the x-axis is the median of the data.

3. Why must we use upper class limits for a 'less than' ogive and lower class limits for a 'more than' ogive?

This is based on the definition of cumulative frequency. A 'less than' ogive represents the cumulative count of observations that are less than a certain value. This value is naturally the upper boundary of a class interval. For example, the cumulative frequency for the class 10-20 shows the total number of items with a value 'less than 20'. Conversely, a 'more than' ogive shows the cumulative count of observations 'more than or equal to' a certain value, which corresponds to the lower boundary of the class interval.

4. How can the median be found if both 'less than' and 'more than' ogives are drawn on the same graph?

When both the 'less than' and 'more than' type ogives are plotted on the same graph paper, they will intersect at a single point. To find the median using this method:

  • Draw both the 'less than' and 'more than' ogives accurately.
  • Locate their point of intersection.
  • Draw a perpendicular line from this intersection point down to the x-axis.
  • The value of the x-coordinate at this point gives the median of the distribution. This is because the intersection represents the value for which the number of observations above it and below it are equal.

5. In RS Aggarwal Ex 9.2, why is it necessary to convert a standard frequency distribution to a cumulative one before plotting an ogive?

An ogive is, by definition, a cumulative frequency curve. Its purpose is to show the running total of frequencies, which helps in graphically locating partition values like the median and quartiles. A standard frequency distribution only shows the number of observations within each specific class interval. An ogive cannot be plotted from this directly. Therefore, the first and most crucial step is to calculate the cumulative frequencies (either 'less than' or 'more than') to get the data points needed for the y-axis of the graph.

6. Can an ogive be used to determine the mean or mode of a dataset? Explain your answer.

No, an ogive is not the correct graphical tool for finding the mean or mode.

  • Median: An ogive is the specific graphical method used to find the median and other partition values (like quartiles and percentiles).
  • Mode: The mode is found graphically using a histogram. It corresponds to the x-value of the tallest bar in the histogram.
  • Mean: The mean cannot be determined graphically. It must be calculated using a formula (Direct, Assumed Mean, or Step-Deviation Method) as it depends on the actual values and frequencies of the data, not just their cumulative count.

7. What is the key difference between a frequency polygon and an ogive in statistics?

The primary difference lies in what is plotted on each axis. A frequency polygon is plotted by joining the points formed by the class marks (mid-points) on the x-axis and their corresponding individual class frequencies on the y-axis. In contrast, an ogive is plotted using the class boundaries (upper or lower limits) on the x-axis and the cumulative frequencies on the y-axis. Consequently, an ogive is a curve that never decreases, while a frequency polygon can go up and down.