Course Content
Theme 01: Integers.
Theme 02: Rational Numbers.
Theme 03: Decimals.
Theme 04: Fractions.
Theme 05: Exponents.
Theme 06: Sets.
Theme 07: Ratio and Proportion.
Theme 08: Percentage.
Theme 09: Profit, Loss and Discount.
Theme 10: Simple Interest
Theme 11: Speed, Distance and Time
Theme 12: Algebraic Expressions.
Theme 13: Linear Equations..
Theme 14: Linear Inequations
Theme 15: Understanding Shapes
Theme 16: Properties of Triangles.
Theme 17: Symmetry.
Theme 18: Representation of 3-D in 2-D.
Theme 19: Congruent Triangles.
Theme 20: Construction.
Theme 21: Perimeter and Area of Polygon.
Theme 23: Collection and Organisation of Data.
Theme 24: Probability.
Mathematics – 7
About Lesson

Here’s a summary of the topic “Collection and Organization of Data” from Class 7 Mathematics ICSE:


**Collection of Data:**

– Data refers to a collection of facts or information.

– Data can be collected through surveys, experiments, or observations.

– Data can be classified as primary data (collected firsthand) or secondary data (collected from other sources).


**Organization of Data:**

– Once data is collected, it needs to be organized to make sense of it.

– Data can be organized in two main ways: as a tally mark or in a table.

– A tally mark is a quick way to record data, often used for counting.

– Tabulation involves arranging data in rows and columns to make it easier to understand and analyze.


**Types of Data:**

– Data can be classified as qualitative (descriptive) or quantitative (numerical).

– Qualitative data describes qualities or characteristics and is often non-numeric.

– Quantitative data represents quantities and can be further classified as discrete (countable) or continuous (measurable).


**Frequency Distribution:**

– Frequency distribution is a way to organize data into classes or intervals and show the number of observations in each class.

– A frequency table displays the data and the frequency (number of times) each value occurs.

– A grouped frequency distribution is used when dealing with a large range of values.


**Graphical Representation of Data:**

– Graphs are used to represent data visually and make it easier to interpret.

– Common types of graphs include bar graphs, line graphs, and pie charts.

– Each type of graph is suitable for representing different types of data and relationships.


**Measures of Central Tendency:**

– Measures of central tendency are used to describe the center of a data set.

– Common measures include mean, median, and mode.

– The mean is the average of all the values, the median is the middle value when the data is arranged in order, and the mode is the value that appears most frequently.


**Measures of Dispersion:**

– Measures of dispersion describe the spread or variability of a data set.

– Common measures include range, mean deviation, and standard deviation.

– The range is the difference between the highest and lowest values, mean deviation measures the average difference from the mean, and standard deviation measures the spread of data around the mean.



– Collection and organization of data are important aspects of statistical analysis.

– Understanding how to collect, organize, and interpret data helps in making informed decisions and drawing meaningful conclusions.