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RS Aggarwal Class 9 Solutions Chapter-18 Mean, Median and Mode of Ungrouped Data

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Class 9 RS Aggarwal Chapter-18 Mean, Median and Mode of Ungrouped Data Solutions - Free PDF Download

Vedantu provides the solutions of RS Aggarwal Class 9 Maths Chapter 18. The topic of Chapter 18 of Mathematics is titled Mean, Median, and Mode of ungrouped data. Chapter 18 in Class 9 RS Aggarwal deals with the calculation of mean, median, mode of ungrouped data. The way the solutions are provided by Vedantu is easily understandable. The stepwise solutions of every sum of the chapter give the student an enhanced insight into the chapter. 


The measures of central tendency mean median, and mode is used to investigate the various properties of a set of data. A measure of central tendency identifies the center position in a data collection as a single value and uses it to characterize a set of data. It's best described as a tendency for data to cluster around a median value. The three most frequent measures of central tendency in statistics are Mean, Median, and Mode. The optimum central tendency measure relies on the sort of data we have. Let's start by learning what each of these phrases means.

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Important Topics RS Aggarwal Solutions Class 9 Maths Chapter 18

In statistics, the three measures of central tendency are mean, median, and mode. While describing a set of data, we identify the core position of any data set. This is referred to as the central tendency measure. Every day, we come across data. We find them in newspapers, articles, bank statements, and phone and electricity bills, among other places. The list goes on and on; they are all around us. The challenge now is if we can deduce certain key characteristics of the data by examining only a subset of the data. The use of measures of central tendency or averages, such as mean, median, and mode, makes this possible.


There are Mainly Two Types of Data

  • Primary Data -  The term "primary data" refers to information obtained by the researcher himself. Data that has already been collected by someone else is referred to as secondary data. Primary data are the data that are collected after conducting surveys, interviews, and extensive research. These data are first-hand sources.


  • Secondary Data - Secondary data is one of the two main categories of data, with primary data being the other. These two sorts of data are quite valuable in research and statistics. Secondary data are the data collected by someone other than the user.


Now, these data can be presented in 2 ways:

  • Ungrouped Data: Data that is not categorized after the collection. The first data you collect from an experiment or study is referred to as ungrouped data. The data is unprocessed, meaning it hasn't been categorized, classified, or otherwise grouped. A list of numbers is what an ungrouped piece of data is.

Example: Height of 5 students are 158,160,170,166,166. Find the range of the data given.

Solution: Range = Highest number – lowest number = 170-158 = 12


  • Grouped Data: Data that is organized in the form of a distribution table is called Grouped Data. Data that has been categorized is referred to as grouped data. This type of data can be displayed using histograms and frequency tables.


For Example:

Class 

Frequency

10-20

7

20-30

10

30-40

12

40-50

14

50-60

16


Concept of Grouped Data

  • Class Interval – 10-20, 20-30, 30-40 are the class intervals.

  • Lower Limit – The smallest number in the class interval is called the lower limit.

For example: 10 in 10-20, 20 in 20-30.

  • Upper Limit – The greatest number in the class interval is called the upper limit.

For example: 20 in 10-20, 30 in 20-30.

  • Class Size – The difference between the smallest and the greatest number in the class interval is called class size.

For Example: Class interval in 19.5 - 9.5 = 19.5 - 9.5 = 10.

  • Classmark – Midpoint between the class interval.

Class mark = (Lower limit + Upper limit)/2


Measures of Central Tendency

  • Mean: Mean is the average of all the observations. It is denoted by x̄.

x̄ = x1 + x2 + x3 +...xn/n (ungrouped data)

x̄ = x1f1 + x2f2 +....xnfn/f1 + f2 + ... + fn (grouped data).

  • Median: Median is the middlemost value from the given set of observations.

Median = (n+1)/2th observation value (if n is odd).

Median = n/2th and (n/2 + 1)th observation value (if n is even).

  • Mode: The observation that has the maximum frequency is called the Mode.


NCERT Question Based on Mean, Median, and Mode

Q. The following number of goals was scored by a team in a series of 10 matches:m3, 5, 0, 3, 3, 4, 3, 2, 4. Find the mean, median, and mode of these scores.

Solution: Mean = (Sum of all 10 matches) /10 = (2 + 3 + 4 + 5 + 0 + 1 + 3 + 3 + 4 + 3)/10 = 2.8

Median: Arrange the goals in increasing order

0, 1, 2, 3, 3, 3, 3, 4, 4, 5

n = 10 (even)

Median = {(n/2)th observation + (n/2+1)th observation}/2

Median =  {5th observation + 6th observation}/2

Median =  {3 + 3}/2

Mode: Arrange the goals in increasing order. 0,1,2,3,3,3,3,4,4,5

Since 3 occurs maximum times. Therefore, 3 is the mode.


RS Aggarwal Solutions Class 9 Chapter 18 Exercises

  1. Exercise (Ex 18A) 18.1

  2. Exercise (Ex 18B) 18.2

  3. Exercise (Ex 18C) 18.3

  4. Exercise (Ex 18D)18.4


Statistics: The study that deals with the collection, organization, presentation, analysis, and interpretation of data are called statistics. Statistics is a discipline of applied mathematics that deals with gathering, describing, analyzing, and inferring conclusions from numerical data.

Data: Facts and numbers that are collected for analytical purposes are called Data. A set of facts that includes numbers, words, measurements, observations, and even simple descriptions of things.


Preparation Tips 

  1. First, go through the chapter thoroughly and cover all the topics.

  2. Note down all the important formulae and try to learn them.

  3. Start solving the exercise questions without any guidance from anyone.

  4. Try the questions at least 3 times if you are unable to solve them.

  5. Seek help from Vedantu’s solution to check your answers and solve the ones that you were unable to solve.


Conclusion

You can download the PDF of the solutions of Chapter 18 for free from Vedantu. Also, revise and solve the important questions for the Class 9 Maths (RS Aggarwal) exam using the updated CBSE Solutions provided by us. Students can download NCERT Solutions Class 9 Maths to help them to revise the complete Syllabus and score more marks in their examinations.

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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.