Question:

The length of 40 leaves of a plant is measured correct to one millimeter and the obtained data is represented in the following table:

Length (in mm) 

Number of leaves

118 − 126 

3

127 − 135

5

   136 − 144    

9

145 − 153

12

154 − 162

5

163 − 171

4

 172 − 180

2


(i) Draw a histogram to represent the given data. 
(ii) Is there any other suitable graphical representation for the same data? 
(iii) Is it correct to conclude that the maximum number of leaves are 153 mm long? Why?

Updated On: Nov 18, 2023
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Solution and Explanation

(i) Let us find half the difference between lower limit of a class and upper limit of its preceding class to make the continuous distribution. 

Length (in mm)

Number of leaves

117.5 − 126.5

3

126.5 − 135.5 

5

135.5 − 144.5 

9

144.5 − 153.5 

12

153.5 − 162.5

5

162.5 − 171.5 

4

171.5 − 180.5 

2


Representation of given data in the form of a histogram is as follows:

Length of 40 leaves of a plant measured
Length of 40 leaves of a plant measured correct to one millimeter. Scale chosen: On y-axis – 1 large division, i.e. 1 cm = 1 leave


(ii) Yes, we can represent the given data by other graphical representation named as Frequency Polygon which is as follows:
 

Length in mm

Class mark

Number of leaves

117.5-126.5

122

3

126.5-135.5

131

5

135.5-144.5

140

9

144.5-153.5

149

12

153.5-162.5

158

5

162.5-171.5

167

4

171.5-180.5

176

2

Frequency Polygon

(iii) No, because the maximum number 12 is corresponding to the class interval 145 -153 which implies that the leaves whose length are 145 mm or less than 153 mm are maximum in number.

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Statistics is a field of mathematics concerned with the study of data collection, data analysis, data interpretation, data presentation, and data organization. Statistics is mainly used to acquire a better understanding of data and to focus on specific applications. Also, Statistics is the process of gathering, assessing, and summarising data in a mathematical form.

Mathematically there are two approaches for analyzing data in statistics that are widely used:

Descriptive Statistics -

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Inferential Statistics -

This statistical strategy is utilized to produce conclusions from data. Inferential statistics rely on statistical tests on samples to make inferences, and it does so by discovering variations between the two groups. The p-value is calculated and differentiated to the probability of chance() = 0.05. If the p-value is less than or equivalent to, the p-value is considered statistically significant.