Class 9 RS Aggarwal Chapter-18 Mean, Median and Mode of Ungrouped Data Solutions - Free PDF Download
FAQs on RS Aggarwal Class 9 Solutions Chapter-18 Mean, Median and Mode of Ungrouped Data
1. What are the three main measures of central tendency covered in RS Aggarwal Class 9 Chapter 18?
RS Aggarwal for Class 9, Chapter 18, focuses on three fundamental measures of central tendency for ungrouped data:
- Mean: The arithmetic average of all observations, calculated by summing all values and dividing by the number of observations.
- Median: The middle value of a dataset when it is arranged in ascending or descending order.
- Mode: The value that appears most frequently in the dataset.
2. How do you calculate the mean for ungrouped data as per the methods in RS Aggarwal Class 9 Chapter 18?
To calculate the mean of ungrouped data, you use the direct method. The steps are as follows:
- Add all the given observations or data points together to find their sum.
- Count the total number of observations.
- Divide the sum of observations by the total number of observations.
The formula is: Mean = (Sum of all observations) / (Total number of observations).
3. What are the steps to find the median of ungrouped data in RS Aggarwal Solutions for Class 9?
Finding the median involves a specific sequence of steps:
- First, arrange the given data in ascending or descending order.
- Count the total number of observations, let's call it 'n'.
- If 'n' is odd, the median is the value of the ((n+1)/2)th observation.
- If 'n' is even, the median is the average of the (n/2)th and the ((n/2) + 1)th observations.
4. When should you use the median instead of the mean to represent a dataset in Class 9 Maths?
You should use the median instead of the mean when the dataset contains outliers, which are extremely high or low values. The mean is highly sensitive to outliers and can give a misleading representation of the central tendency. The median, being the middle value, is not affected by these extreme values and thus provides a more accurate and stable measure for skewed data.
5. What is the key difference between mean, median, and mode for ungrouped data?
The key difference lies in what each measure represents:
- The Mean is the 'average' value and considers every single data point in its calculation. It represents the balance point of the data.
- The Median is the 'positional middle' value, which divides the dataset into two equal halves. It is not influenced by the actual values of the data points, only their order.
- The Mode is the 'most frequent' value and represents the most common observation in the dataset. A dataset can have one mode, more than one mode, or no mode at all.
6. How can the concepts of mean, median, and mode from Chapter 18 be applied in real-world scenarios?
These concepts are widely used in daily life. For instance:
- Mean: A teacher calculates the average (mean) marks of a student to track their academic performance over several tests.
- Median: When discussing household incomes in a city, the median income is often used because it is not skewed by a few extremely wealthy individuals. It gives a better idea of the 'typical' income.
- Mode: A shoe company uses the mode to determine which shoe size is the most popular and should be produced in the largest quantity.
7. What types of problems are covered in the exercises of RS Aggarwal Class 9 Chapter 18?
The exercises in RS Aggarwal Class 9 Chapter 18 typically cover a range of problems to build a strong foundation in statistics. You will find questions on:
- Calculating the mean, median, and mode for a simple list of numbers (ungrouped data).
- Finding a missing value in a dataset when the mean is given.
- Determining the median for both even and odd numbers of observations.
- Identifying the mode, including cases of bimodal (two modes) or multimodal data.
- Solving word problems that require you to apply these measures to practical situations.
8. Can a dataset have more than one mode? Explain with an example.
Yes, a dataset can have more than one mode. If two or more values appear with the same highest frequency, the dataset is called multimodal. For example, if a dataset of student scores is {75, 80, 92, 80, 71, 92, 85}, both 80 and 92 appear twice, which is the highest frequency. Therefore, this dataset is bimodal, and its modes are 80 and 92.
9. What is the empirical relationship between mean, median, and mode mentioned in RS Aggarwal Class 9?
For a moderately skewed distribution, there is an approximate relationship between mean, median, and mode, known as the empirical formula. This relationship, often discussed in Class 9 statistics, is:
Mode = 3 * Median - 2 * Mean
This formula is useful for finding one measure of central tendency if the other two are known, but it is important to remember it is an approximation and not an exact mathematical rule.











