Hard Level Worksheet Questions
Note: Answer each question with steps and explanation. Write down the answers on sheet and submit to the school subject teacher.
Frequency distribution tables and graphs are powerful tools for organizing, analyzing, and presenting statistical data. Understanding histograms, bar graphs, pie charts, and frequency polygons is essential for data interpretation and statistical analysis in real-world applications.
Let's start with fundamental concepts of frequency distribution and data representation.
1. Define "frequency" in a frequency distribution table.
Perfect! Frequency is the number of times a particular value or data item appears in a dataset.
2. What is the class mark of the class interval 20–30?
Class mark =
Excellent! Class mark is the mid-point of the class interval: (20+30)/2 = 25.
3. The sum of all frequencies in a frequency table is called what?
Correct! The total frequency is the sum of all individual frequencies in the table.
4. Which type of graph is most suitable for representing parts of a whole?
Perfect! Pie charts show how different parts make up a complete whole using sectors of a circle.
5. If the class interval is 40–50, find its class size.
Step 1: Class size = Upper limit - Lower limit
Step 2: Class size = 50 - 40 =
Great! Class size is the difference between upper and lower limits.
6. The mid-value between 15 and 25 is called the:
Correct! The mid-value or midpoint of a class interval is called the class mark.
7. State the difference between a bar graph and a histogram.
Excellent! Bar graphs have gaps between bars, while histogram bars touch each other.
8. If the highest frequency in a table is 18, what is its class called?
Perfect! The class with the highest frequency is called the modal class.
9. What is the difference between grouped and ungrouped data?
Correct! Grouped data is organized into class intervals, while ungrouped data shows individual values.
10. Which axis is generally used to represent the variable in a histogram?
Great! The X-axis represents the variable (class intervals) in a histogram.