Organisation of Data

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CBSE Learning Objectives – Key Concepts & Skills You Must Know

Learning Objectives

Classify the data for further statistical analysis.
Distinguish between quantitative and qualitative classification.
Prepare a frequency distribution table.
Know the technique of forming classes.
Be familiar with the method of tally marking.
Differentiate between univariate and bivariate distributions.

CBSE Revision Notes & Quick Summary for Last-Minute Study

Organisation of Data

Introduction

Purpose: To classify raw data for easier statistical analysis.
Importance of classification in organizing data.

Classification of Data

Types of Classification:
- Quantitative: Based on numerical values.
- Qualitative: Based on categorical values.
Methods of Classification:
- Chronological (based on time)
- Spatial (based on geographical locations)

Frequency Distribution

Definition: A comprehensive way to classify raw data showing how different values are distributed in classes with corresponding frequencies.
Class Frequency: Number of values in a particular class.
Class Limits: The two ends of a class (Lower and Upper).
Class Mark: The middle value of a class, calculated as:

Class Mark = (Upper Class Limit + Lower Class Limit) / 2

Example of Frequency Distribution

Table 3.1: Marks in Mathematics Obtained by 100 Students

Marks	Frequency
0-10	7
10-20	1
20-30	8
30-40	6
40-50	21
50-60	23
60-70	19
70-80	6
80-90	5
90-100	4
Total	100

Loss of Information

Classification of data leads to a loss of individual observation details, as only class frequencies are used for further calculations.

Variables: Continuous and Discrete

Continuous Variables: Can take any numerical value (e.g., height, weight).
Discrete Variables: Can take only certain values, typically whole numbers (e.g., number of students).

Important Concepts

Inclusive vs Exclusive Class Intervals:
- Inclusive: Both upper and lower limits are included.
- Exclusive: Either upper or lower limit is excluded.

Recap

Classification brings order to raw data.
A Frequency Distribution shows how different values are distributed in classes.
Statistical calculations in classified data are based on class marks.

CBSE Exam Tips, Important Questions & Common Mistakes to Avoid

Common Mistakes and Exam Tips

Common Pitfalls

Failure to Classify Data Properly: Students often neglect to classify raw data before analysis, leading to confusion and difficulty in drawing conclusions.
Ignoring Class Intervals: Not paying attention to the size and limits of class intervals can result in inaccurate frequency distributions.
Misunderstanding Continuous vs. Discrete Variables: Confusing continuous variables (which can take any value) with discrete variables (which can only take specific values) can lead to errors in data interpretation.
Loss of Information: Students may not recognize that summarizing data into frequency distributions can lead to a loss of individual data points, which may be significant.

Tips for Success

Always Organize Your Data: Before performing any analysis, ensure that your data is well-organized and classified. This will make it easier to work with.
Check Class Limits: When creating frequency distributions, double-check that you are using the correct lower and upper class limits to avoid misclassification.
Understand the Types of Variables: Familiarize yourself with the differences between continuous and discrete variables to apply the correct statistical methods.
Practice Tally Marking: Use tally marks to keep track of frequencies accurately, especially when dealing with larger datasets.
Review Frequency Distribution Examples: Study examples of frequency distributions to understand how to construct them and interpret the results effectively.

CBSE Quiz & Practice Test – MCQs, True/False Questions with Solutions

Multiple Choice Questions

Continuous variable

Discrete variable

Qualitative variable

Bivariate variable

Correct Answer: B

Solution:

The number of cars is a discrete variable as it can only take whole numbers and not fractions.

The class interval should be the same for all classes.

The class interval can vary for each class based on the data.

The class interval should only include whole numbers.

The class interval must be less than 10.

Correct Answer: A

Solution:

The class interval should be the same for all classes to maintain consistency in the frequency distribution.

A method to collect raw data

A summary of data showing the number of observations in each class

A way to increase the complexity of data

A technique to eliminate data outliers

Correct Answer: B

Solution:

A frequency distribution summarizes data by showing the number of observations in each class interval.

The number of observations in a class

The two ends of a class

The average value of a class

The total number of classes

Correct Answer: B

Solution:

Class limits are the two ends of a class, defining the range of values it covers.

Class Frequency

Class Interval

Class Mark

Class Limit

Correct Answer: B

Solution:

The class interval is the difference between the upper class limit and the lower class limit.

It can take any numerical value

It can take fractional values

It changes in finite jumps

It includes values that are not exact fractions

Correct Answer: C

Solution:

A continuous variable can take any value, including fractions, and does not change in finite jumps.

The number of observations that fall within the class interval 40-50.

The total number of observations in the dataset.

The average value of observations in the class interval 40-50.

The sum of all observations in the class interval 40-50.

Correct Answer: A

Solution:

The frequency of a class interval represents the number of observations that fall within that interval. In this case, there are 21 observations that have values between 40 and 50.

Continuous Variable

Discrete Variable

Qualitative Variable

Dependent Variable

Correct Answer: B

Solution:

The number of cars is a discrete variable because it can only take whole number values, not fractions.

The difference between the upper and lower class limits

The midpoint of a class interval

The total number of observations in a class

The range of the dataset

Correct Answer: B

Solution:

The class mark is the midpoint of a class interval and is calculated as the average of the upper and lower class limits.

The difference between the highest and lowest values in the data

The range of values within a single class

The total number of observations

The average value of the data

Correct Answer: B

Solution:

Class interval refers to the range of values within a single class in a frequency distribution.

Most students scored between 50 and 60 marks.

No student scored above 60 marks.

The average mark is 55.

All students scored exactly 55 marks.

Correct Answer: A

Solution:

The highest frequency in the class interval 50-60 indicates that most students scored within this range, not necessarily at the exact midpoint.

It allows for the storage of more data.

It enables easier statistical analysis and interpretation.

It reduces the need for data collection.

It eliminates the need for data visualization.

Correct Answer: B

Solution:

Classifying data into a frequency distribution organizes it in a way that facilitates easier statistical analysis and interpretation.

A discrete variable can take any fractional value, while a continuous variable can only take integral values.

A discrete variable can only take certain specific values, while a continuous variable can take any value within a range.

A discrete variable is always qualitative, while a continuous variable is always quantitative.

A discrete variable changes smoothly, while a continuous variable changes in jumps.

Correct Answer: B

Solution:

A discrete variable can only take certain specific values, often whole numbers, while a continuous variable can take any value within a range, including fractional values.

To make it easier to handle and analyze

To increase the data size

To make it more complex

To eliminate errors

Correct Answer: A

Solution:

Classification of raw data brings order and makes it easier for statistical analysis.

A distribution that shows the frequency of a single variable.

A distribution that displays the frequency of two variables simultaneously.

A distribution that uses tally marks to count occurrences.

A distribution that only includes qualitative data.

Correct Answer: B

Solution:

A bivariate frequency distribution shows the frequency of two variables simultaneously, allowing for analysis of relationships between them.

Spatial Classification

Chronological Classification

Qualitative Classification

Quantitative Classification

Correct Answer: B

Solution:

Chronological Classification organizes data with reference to time, such as years or months.

Cumulative frequency distribution

Relative frequency distribution

Bivariate frequency distribution

Simple frequency distribution

Correct Answer: A

Solution:

To find out how many students scored more than a certain mark, the cumulative frequency distribution is used as it shows the number of observations below or above a particular value.

The sum of the two variables for each observation.

The frequency of occurrences for the corresponding row and column values.

The average of the two variables for each observation.

The difference between the two variables for each observation.

Correct Answer: B

Solution:

In a bivariate frequency distribution, each cell shows the frequency of occurrences for the corresponding values of the two variables represented by the row and column.

Grouping students by their marks

Grouping people by gender

Grouping books by publication year

Grouping data by time intervals

Correct Answer: B

Solution:

Qualitative classification involves grouping based on non-numeric attributes, such as gender.

To make it more difficult to understand

To reduce the number of data points

To organize data for easier analysis

To eliminate errors in data

Correct Answer: C

Solution:

Classifying data organizes it, making it easier to analyze and draw meaningful conclusions.

It requires more storage space than raw data.

It leads to loss of detailed information about individual data points.

It makes the data harder to interpret.

It increases the complexity of statistical analysis.

Correct Answer: B

Solution:

While frequency distribution simplifies data analysis by summarizing data, it results in the loss of detailed information about individual data points.

Chronological Classification

Qualitative Classification

Quantitative Classification

Spatial Classification

Correct Answer: C

Solution:

Quantitative Classification is used when dealing with numerical data like monthly expenditure, allowing the data to be grouped into class intervals for analysis.

Grouping students based on their grades

Classifying books by their publication year

Categorizing people by their marital status

Sorting data by numerical values

Correct Answer: C

Solution:

Qualitative classification involves grouping based on non-numeric attributes, such as marital status, which cannot be measured quantitatively.

The number of classes in the table

The number of observations in a specific class

The total number of observations

The average of all class intervals

Correct Answer: B

Solution:

Class frequency is the number of observations that fall within a specific class.

Random sorting

Classification

Disorganization

Destruction

Correct Answer: B

Solution:

The process of organizing items into groups based on certain criteria is called classification.

20-30

30-40

40-50

None of the above

Correct Answer: C

Solution:

In the exclusive method of classification, the upper class limit is not included in the class interval. Therefore, a score of 40 would be included in the class interval 40-50.

Correct Answer: B

Solution:

The class mark is the midpoint of a class interval. For the class interval 20-30, the class mark is calculated as (20 + 30) / 2 = 25.

Chronological Classification

Spatial Classification

Quantitative Classification

Qualitative Classification

Correct Answer: B

Solution:

Spatial Classification involves classifying data based on geographical locations like countries, states, etc.

The range of data values

The number of observations in a class

The average value of a class

The difference between the highest and lowest values

Correct Answer: B

Solution:

Class frequency is the number of observations that fall within a specific class interval.

To make the data more complex

To introduce errors in the data

To bring order and facilitate statistical analysis

To hide the data from analysis

Correct Answer: C

Solution:

Classification helps in organizing the data, making it easier to analyze and draw conclusions.

Arranging the marks in alphabetical order

Grouping the marks into frequency distribution classes

Listing the marks in random order

Sorting the marks by student names

Correct Answer: B

Solution:

Grouping the marks into frequency distribution classes helps in organizing the data for statistical analysis by showing how different values are distributed across various classes.

Number of students in a class

Population of a country

Temperature measured in degrees Celsius

Number of cars on a road

Correct Answer: C

Solution:

Temperature is a continuous variable because it can take any numerical value, including fractions, over a range.

To display the frequency of a single variable

To show the relationship between two variables

To summarize qualitative data

To calculate the mean of a dataset

Correct Answer: B

Solution:

A bivariate frequency distribution shows the frequency of two variables and their relationship.

Chronological Classification

Qualitative Classification

Quantitative Classification

Spatial Classification

Correct Answer: B

Solution:

Qualitative Classification is used when data is classified based on qualitative characteristics such as gender, education, and occupation.

To enhance the aesthetic appeal of his shop

To make it easier to locate and sell items

To comply with local waste management laws

To increase the overall weight of the junk

Correct Answer: B

Solution:

The classification of junk into different groups helps the kabadiwallah to efficiently locate and sell items, as it brings order to the otherwise chaotic collection.

Create a frequency distribution table

List scores in random order

Write scores on individual sticky notes

Ignore the scores

Correct Answer: A

Solution:

A frequency distribution table helps in organizing data to easily identify patterns such as the highest and lowest scores.

It increases the value of the junk.

It makes it easier to find a particular item when needed.

It reduces the total amount of junk.

It changes the physical properties of the junk.

Correct Answer: B

Solution:

Classification helps in organizing items, making it easier to locate specific items when required.

Classify the data into groups or classes

Collect more data

Discard the lowest scores

Randomly select some scores to analyze

Correct Answer: A

Solution:

Classifying the data into groups or classes helps in organizing the data for easier analysis and understanding.

Qualitative classification

Chronological classification

Frequency distribution

Spatial classification

Correct Answer: C

Solution:

A frequency distribution is best suited to summarize quantitative data, such as the number of cell phones used by families.

Correct Answer: A

Solution:

The class mark is the midpoint of the class interval, calculated as (Lower Limit + Upper Limit) / 2 = (40 + 50) / 2 = 45.

It involves only one variable

It involves two variables

It does not involve any variables

It is used for qualitative data only

Correct Answer: B

Solution:

A bivariate frequency distribution involves the frequency distribution of two variables.

Height of a person

Number of cars in a parking lot

Temperature of a room

Distance traveled by a car

Correct Answer: B

Solution:

The number of cars in a parking lot is a discrete variable because it can only take whole number values.

To increase the volume of data

To make data collection easier

To facilitate easier statistical analysis

To ensure data privacy

Correct Answer: C

Solution:

Organizing raw data into a classified form helps in making the data manageable and ready for statistical analysis.

There are 8 values exactly equal to 25.

There are 8 values within the range of 20 to 30.

The average of this class interval is 25.

The highest value in this class interval is 30.

Correct Answer: B

Solution:

The frequency of 8 indicates that there are 8 values that fall within the class interval 20-30.

It reduces data redundancy.

It minimizes data loss.

It facilitates easier retrieval and analysis.

It ensures data accuracy.

Correct Answer: C

Solution:

Classification organizes data into groups or classes based on certain criteria, making it easier to retrieve and analyze. This is similar to how a junk dealer organizes items or how books are arranged by subjects.

To make it easier to find items for buyers

To increase the weight of the items

To reduce the number of items

To sell items at a higher price

Correct Answer: A

Solution:

Classification helps in organizing items, making it easier to locate specific items when needed.

A distribution of a single variable

A distribution of two variables

A distribution of more than two variables

A distribution with no variables

Correct Answer: B

Solution:

A bivariate frequency distribution involves the frequency distribution of two variables.

Number of students in a class

Height of students

Number of books on a shelf

Number of cars in a parking lot

Correct Answer: B

Solution:

Height is a continuous variable because it can take any value within a range.

Grouping data based on numerical values

Grouping data based on qualitative characteristics

Grouping data based on time intervals

Grouping data based on geographical locations

Correct Answer: B

Solution:

Qualitative classification involves grouping data based on non-numerical attributes like gender or marital status.

Qualitative Classification

Spatial Classification

Chronological Classification

Quantitative Classification

Correct Answer: C

Solution:

Chronological Classification organizes data based on time intervals, such as years, months, or days.

It increases the size of the data

It makes data analysis more complex

It brings order and makes analysis easier

It eliminates the need for data collection

Correct Answer: C

Solution:

Classifying raw data organizes it, making it easier to analyze and draw conclusions.

Classification of data is only useful for qualitative data.

Classification of data is an arbitrary process without any specific criteria.

Classification of data helps in organizing and simplifying large datasets for analysis.

Classification of data results in a loss of all original data details.

Correct Answer: C

Solution:

Classification of data organizes and simplifies large datasets, making them easier to analyze and draw conclusions from.

Correct Answer: B

Solution:

The class mark is the midpoint of the class interval. For the interval 20-30, it is calculated as (20 + 30) / 2 = 25.

Chronological classification

Qualitative classification

Quantitative classification

Spatial classification

Correct Answer: C

Solution:

Heights are quantitative data, so quantitative classification is appropriate for organizing them.

Qualitative Classification

Spatial Classification

Chronological Classification

Quantitative Classification

Correct Answer: C

Solution:

Chronological Classification organizes data in order of time, such as years or months.

Height of students

Temperature

Number of cars on a road

Weight of a person

Correct Answer: C

Solution:

A discrete variable can only take certain values, such as whole numbers.

It increases the complexity of data analysis.

It leads to a loss of specific information about individual data points.

It requires advanced statistical software.

It makes the data less comprehensible.

Correct Answer: B

Solution:

When raw data is classified into a frequency distribution, there is a loss of specific information about individual data points, as the data is summarized into classes.

Spatial Classification

Qualitative Classification

Chronological Classification

Quantitative Classification

Correct Answer: C

Solution:

Chronological Classification is used when data is grouped according to time, such as years, months, or days.

It involves the classification of data based on a single variable.

It involves the classification of data based on two variables.

It is used for qualitative data only.

It is used for continuous variables only.

Correct Answer: B

Solution:

A bivariate frequency distribution summarizes the frequency distribution of two variables, allowing for analysis of the relationship between them.

The difference between the highest and lowest data points

The range of values within a class

The total number of classes

The average value of a class

Correct Answer: B

Solution:

Class interval is the range of values within a class, calculated as the difference between the upper and lower class limits.

Chronological classification

Qualitative classification

Quantitative classification

Spatial classification

Correct Answer: C

Solution:

Quantitative classification is used for data that can be measured and expressed numerically, such as the amount of money spent.

True or False

Correct Answer: False

Solution:

Qualitative classification is used for characteristics that cannot be measured, such as gender or marital status.

Correct Answer: False

Solution:

The kabadiwallah organizes junk based on material type, which is a quantitative classification.

Correct Answer: False

Solution:

Raw data are often large and cumbersome, making it difficult to analyze without proper classification.

Correct Answer: False

Solution:

Raw data is often large and cumbersome, making it difficult to analyze without proper classification.

Correct Answer: True

Solution:

Data can be classified in different ways, such as by time or geographical location, depending on the purpose of the analysis.

Correct Answer: True

Solution:

A frequency distribution organizes raw data into classes and shows the number of observations in each class, making the data more comprehensible.

Correct Answer: True

Solution:

The kabadiwallah organizes his junk into different classes to bring order and make it easier to find specific items.

Correct Answer: True

Solution:

Classification organizes data into groups or classes based on certain criteria, making it easier to locate specific information.

Correct Answer: True

Solution:

Data can be classified on the basis of qualitative characteristics (attributes) or quantitative characteristics (numerical values).

Correct Answer: False

Solution:

Raw data are highly disorganised and cumbersome to handle, making it difficult to draw meaningful conclusions without classification.

Correct Answer: True

Solution:

Classification brings order to raw data, making it manageable and ready for statistical analysis.

Correct Answer: True

Solution:

Frequency distribution summarizes data by showing the number of observations in each class, not the actual values.

Correct Answer: False

Solution:

A frequency distribution table summarizes data but does not provide details of individual observations, leading to a loss of information.

Correct Answer: False

Solution:

Classification is not done arbitrarily; it is based on specific criteria to organize data effectively.

Correct Answer: True

Solution:

Chronological classification arranges data in order of time, such as years, months, or days.

Correct Answer: True

Solution:

Bivariate frequency distribution summarizes data involving two variables, such as sales and advertisement expenditure.

Correct Answer: False

Solution:

Spatial classification organizes data based on geographical locations, not time intervals.

Correct Answer: False

Solution:

Chronological classification organizes data based on time, not geographical locations.

Correct Answer: False

Solution:

Qualitative classification is based on non-measurable characteristics or attributes, such as gender or marital status.

Correct Answer: False

Solution:

Raw data is disorganized and cumbersome to handle, making it difficult to draw meaningful conclusions without classification.

Correct Answer: False

Solution:

Qualitative classification is based on non-measurable characteristics, such as attributes like gender or marital status.

Correct Answer: True

Solution:

Classification brings order to data, making it easier to analyze statistically.

Correct Answer: True

Solution:

Classification helps in organizing raw data into a structured form, making it easier to handle and analyze.

Correct Answer: True

Solution:

Classification helps in organizing raw data, making it easier to handle and analyze.

Correct Answer: False

Solution:

Discrete variables can only take specific values and do not include fractional values between integers.

Correct Answer: True

Solution:

Raw data is disorganized and large, making it cumbersome to analyze without classification.

Correct Answer: False

Solution:

A bivariate frequency distribution involves the frequency distribution of two variables.

Correct Answer: True

Solution:

Chronological classification arranges data in order of time, such as years or months.

Correct Answer: True

Solution:

A frequency distribution table organizes data into classes, making it easier to analyze and draw conclusions.

Correct Answer: False

Solution:

Discrete variables can only take specific values, often whole numbers, and cannot take fractional values between them.

Correct Answer: False

Solution:

A discrete variable can only take specific values and does not include fractional values between integers.

Correct Answer: True

Solution:

While classification makes data manageable, it abstracts away individual data points, leading to a loss of detailed information.

Correct Answer: False

Solution:

A frequency distribution table summarizes data, resulting in a loss of detailed individual data values.

Correct Answer: False

Solution:

A bivariate frequency distribution analyzes two variables simultaneously, showing their relationship.

Correct Answer: True

Solution:

Proper organisation and presentation of data are needed before any systematic statistical analysis is undertaken.

Correct Answer: True

Solution:

A frequency distribution organizes raw data into classes, showing how values are distributed.

Correct Answer: False

Solution:

Raw data is often disorganized and difficult to interpret, whereas classified data is organized and easier to analyze.

Correct Answer: True

Solution:

While a frequency distribution table organizes data for easier analysis, it does not retain individual data points, leading to a loss of detailed information.

Correct Answer: True

Solution:

Continuous variables can take any numerical value, including whole numbers and fractions.

Correct Answer: True

Solution:

A bivariate frequency distribution is used to analyze the frequency distribution of two variables simultaneously.

Correct Answer: True

Solution:

While classification makes data concise, it loses specific details that are present in raw data.

Correct Answer: True

Solution:

Classification organizes raw data into groups or classes, making it easier to analyze statistically.

Correct Answer: True

Solution:

Classification brings order to raw data, making it easier to handle and analyze, as demonstrated by the kabadiwallah's organization of junk.

Correct Answer: True

Solution:

A frequency distribution table organizes raw data into classes, making it easier to understand and analyze.

Correct Answer: True

Solution:

The kabadiwallah organizes items into groups such as 'glass', 'metals', etc., which is a form of classification.

Organisation of Data

AI Learning Assistant

CBSE Learning Objectives – Key Concepts & Skills You Must Know

Learning Objectives

CBSE Revision Notes & Quick Summary for Last-Minute Study

Organisation of Data

Introduction

Classification of Data

Frequency Distribution

Example of Frequency Distribution

Table 3.1: Marks in Mathematics Obtained by 100 Students

Loss of Information

Variables: Continuous and Discrete

Important Concepts

Recap

CBSE Exam Tips, Important Questions & Common Mistakes to Avoid

Common Mistakes and Exam Tips

Common Pitfalls

Tips for Success

Multiple Choice Questions

Q1.In a study, a researcher collects data on the number of cars passing through a toll booth every hour. Which type of variable does this data represent?

Correct Answer: B

Q2.A researcher is analyzing the monthly household expenditure on food of 50 households. If the range of expenditure is divided into class intervals, which of the following statements is true?

Correct Answer: A

Q3.What is a frequency distribution?

Correct Answer: B

Q4.In a frequency distribution table, what does the term 'class limits' refer to?

Correct Answer: B

Q5.When organizing data into a frequency distribution, what is the term used for the difference between the upper and lower class limits?

Correct Answer: B

Q6.Which of the following is NOT a characteristic of a continuous variable?

Correct Answer: C

Q7.In a frequency distribution table, the class interval 40-50 has a frequency of 21. What does this frequency represent?

Correct Answer: A

Q8.Suppose you have collected data on the number of cars passing through a toll booth each hour for a day. If you wish to classify this data, which type of variable are you dealing with?

Correct Answer: B

Q9.In the context of the frequency distribution table, what does the term 'class mark' refer to?

Correct Answer: B

Q10.When organizing data into a frequency distribution table, what does the term 'class interval' refer to?

Correct Answer: B

Correct Answer: A

Q12.What is the primary advantage of classifying data into a frequency distribution?

Correct Answer: B

Q13.In the context of data organization, what is the key difference between a discrete variable and a continuous variable?

Correct Answer: B

Q14.What is the main purpose of classifying raw data?

Correct Answer: A

Q15.In the context of data organization, which of the following best describes a bivariate frequency distribution?

Correct Answer: B

Q16.If a dataset is organized into classes based on time, such as years or months, what type of classification is being used?

Correct Answer: B

Q17.In a study, a teacher collects the marks of 100 students in mathematics and organizes them into a frequency distribution table. If she wants to find out how many students scored more than 70 marks, which statistical method should she use?

Correct Answer: A

Q18.In a bivariate frequency distribution, what does each cell in the table represent?

Correct Answer: B

Q19.Which of the following is an example of qualitative classification?

Correct Answer: B

Q20.Why is it important to classify data before statistical analysis?

Correct Answer: C

Q21.When organizing raw data into a frequency distribution, what is a potential drawback?

Correct Answer: B

Q22.A researcher is analyzing the monthly household expenditure on food of 50 households. If the data is presented in a frequency distribution table with class intervals, which of the following methods would best help in organizing the data for statistical analysis?

Correct Answer: C

Q23.Which of the following is an example of a qualitative classification?

Correct Answer: C

Q24.In a frequency distribution table, what is the 'class frequency'?

Correct Answer: B

Q25.A shopkeeper organizes his inventory into groups like 'newspapers', 'plastics', 'glass', and 'metals'. What is this process called?

Correct Answer: B

Correct Answer: C

Q27.In a frequency distribution table, what is the 'class mark' for the class interval 20-30?

Correct Answer: B

Q28.Which method is used to classify data based on geographical locations?

Correct Answer: B

Q29.In a frequency distribution, what does the term 'class frequency' refer to?

Correct Answer: B

Q30.In a study, a teacher collects the marks of 100 students in mathematics and wants to classify them for further analysis. Which of the following best describes the purpose of classification in this context?

Correct Answer: C

Q31.A teacher collects the marks of 100 students in mathematics and wants to classify them for further analysis. Which of the following methods would best help in organizing the data for statistical analysis?

Correct Answer: B