CBSE Class 9  >  Class 9 Notes  >  Mathematics (Maths)   >  Worksheet: Statistics

Worksheet: Statistics

Multiple Choice Questions

Q1: A histogram has a class interval 40-60, and its rectangle height is 8 units. Another class interval 60-70 has rectangle height 16 units.
If the intervals are unequal, which class has higher frequency density?

(a) 40-60
(b) 60-70
(c) Both equal
(d) Cannot be determined

Q2: In a frequency polygon, if two consecutive class midpoints are incorrectly taken as 2 units closer, what happens to the polygon?

(a) Only the height changes
(b) Only the width changes
(c) Slope becomes steeper or flatter
(d) It becomes impossible to draw

Q3: A bar graph compares profit for 12 months. If the scale is changed from
1 cm = ₹5000 to 1 cm = ₹10,000, the effect is:

(a) Bar widths double
(b) Bar heights become half
(c) Bars shift left
(d) Gaps disappear

Q4: A histogram is used for:
(a) Discrete data
(b) Continuous grouped data
(c) Favourite colours
(d) Names of students

Q5: A bar graph is drawn using:

(a) Bars of equal width
(b) Bars of unequal width
(c) Bars touching each other
(d) No bars at all

Short Answer Questions

Q1: The following data gives the amount of manure (in tones) manufactures by a company during some years.
Short Answer Questions

  • Represent it with a bar graph.
  • Indicate with help of bar graph in which year, the amount of manufactured by company was maximum.

Q2: Draw a bar graph for the following data:Short Answer Questions

Q3: Find the class mark of 20-30.

Long Answer Questions

Q1: Draw a histogram for this data:Long Answer Questions

Q2: You are given the following mid-points of a frequency polygon:
20, 30, 40, 50, 60
The polygon rises from (20, 6) to (40, 18), then falls to (60, 4).


(a) Reconstruct the class intervals.
(b) Draw a rough shape description of the polygon.
(c) Explain where the distribution has its "peak" and what it means.

Q3: Below is data of girls per 1000 boys in different sections of society:Long Answer Questions

(i) Draw a bar graph for the data.
(ii) Which section shows the highest value?
(iii) Comment on the trend.


You can see the solutions of worksheet here.

The document Worksheet: Statistics is a part of the Class 9 Course Mathematics (Maths) Class 9.
All you need of Class 9 at this link: Class 9

FAQs on Worksheet: Statistics

1. What is statistics and why is it important in research?
Ans. Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It helps researchers make sense of complex data sets and draw meaningful conclusions. Statistics plays a crucial role in research as it allows researchers to make informed decisions, validate hypotheses, and identify patterns or trends in the data.
2. What are the different types of statistical data?
Ans. There are four main types of statistical data: nominal, ordinal, interval, and ratio. Nominal data consists of categories or labels with no specific order or ranking. Ordinal data represents categories with a natural order or ranking. Interval data has equal intervals between values, but there is no true zero point. Ratio data, on the other hand, has equal intervals and a true zero point, allowing for meaningful ratios between values.
3. How do you calculate the mean, median, and mode of a data set?
Ans. The mean is calculated by summing up all the values in a data set and dividing by the total number of values. The median is the middle value when the data set is ordered from least to greatest. If there is an even number of values, the median is the average of the two middle values. The mode is the value that appears most frequently in the data set.
4. What is the difference between correlation and causation in statistics?
Ans. Correlation measures the strength and direction of the relationship between two variables but does not imply causation. It means that two variables may be related or associated, but one does not necessarily cause the other. Causation, on the other hand, implies a cause-and-effect relationship between two variables, where changes in one variable directly cause changes in the other.
5. How do you interpret a p-value in statistical analysis?
Ans. In statistical analysis, the p-value represents the probability of obtaining results as extreme as the observed data, assuming that the null hypothesis is true. A p-value less than a predetermined significance level (e.g., 0.05) indicates that the results are statistically significant, suggesting that the observed data is unlikely to occur by chance alone. A p-value greater than the significance level suggests that the results may be due to random variation and do not provide strong evidence against the null hypothesis.
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