Definitions [8]
Statistics is the area of study dealing with the collection, presentation, and analysis of data as well as drawing meaningful conclusions from the data.
A collection of given facts or figures, usually expressed in numerical form.
Each group into which raw data is divided is called a class interval.
The two values that bound a class interval.
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Lower limit: Smallest value of the class
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Upper limit: Largest value of the class
The difference between the highest and lowest observations.
Range = Highest value − Lowest value
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Inclusive form: Both lower and upper limits are included in the class.
(Example: 1–10, 11–20) -
Exclusive form: Lower limit is included, but upper limit is excluded.
(Example: 0–10, 10–20)
Frequency:
The number of times a particular observation occurs.
Frequency Distribution:
A tabular arrangement of data showing the frequency of each observation or class.
In a grouped frequency distribution, the modal class is the class interval that has the highest frequency.
Formulae [7]
\[\text{Adjustment Factor}=\frac{1}{2}\text{(Lower limit of next class - Upper limit of previous class)}\]
\[\text{Frequency density}=\frac{\mathrm{Frequency}}{\text{Class width}}\]
Direct Method:
\[\bar{x}=\frac{\sum f_ix_i}{\sum f_i}\]
where xi = class mark, fi = frequency
Short-cut (Assumed Mean) Method:
\[\bar{x} = A+\frac{\sum f_id_i}{\sum f_i}\]
where di = xi - A
A is the assumed mean
Step-deviation Method:
\[\bar{x}=a+h\frac{\sum f_iu_i}{\sum f_i}\]
where \[u_i=\frac{x_i-a}{h}\]
h is the class width / common factor
If n is odd:
Median =\[\left(\frac{n+1}{2}\right)\]th observation
If n is even:
Median average of =\[\frac{n}{2}\mathrm{th}\] and \[\left(\frac{n}{2}+1\right)\mathrm{th}\]observations
\[\mathrm{Median}=l+\frac{\left(\frac{n}{2}-cf\right)}{f}\times h\]
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l = lower limit of median class
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n = total frequency
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cf = cumulative frequency of class before median class
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f = frequency of median class
Classes must be continuous before applying the median formula.
\[\mathrm{Mode}=l+\left(\frac{f_1-f_0}{2f_1-f_0-f_2}\right)\times h\]
l = lower limit of the modal class,
h = size of the class interval (assuming all class sizes to be equal),
f1 = frequency of the modal class,
f0 = frequency of the class preceding the modal class,
f2 = frequency of the class succeeding the modal class.
\[\text{Central angle}=\frac{\text{Value of component}}{\text{Total value}}\times360^\circ\]
Key Points
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A bar diagram is used for the comparison of quantities.
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A pie diagram shows data in percentage or proportional form.
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A line graph shows change over time.
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A histogram is used for a grouped frequency distribution.
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A frequency polygon represents a frequency distribution graphically.
- A Histogram is a graphical representation of a grouped frequency distribution using rectangles.
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It is used for continuous grouped data.
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Class intervals are shown on the X-axis.
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Frequencies are shown on the Y-axis.
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Rectangles are drawn without gaps between them.
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The height of each rectangle is proportional to its frequency.
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A frequency polygon is a graph obtained by joining the points
(class-mark, frequency) by straight line segments. -
Class-mark = midpoint of the class interval.
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Two imagined classes (with zero frequency) are taken at the beginning and end to close the polygon.
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A frequency polygon is drawn on the same axes as the histogram (if a histogram is given).
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The polygon starts and ends on the x-axis.
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A pie diagram represents data using a circle.
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The whole circle = total data = 360°.
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Each part of the data is shown by a sector.
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The central angle of a sector is proportional to the data value.
- Larger value → larger sector, smaller value → smaller sector.
Important Questions [17]
- The following table shows the classification of percentage of marks of students and the number of students. Draw frequency polygon from the table without drawing histogram: Result (Percentage) 20 - 40
- Draw the Frequency Polygon for the Following Frequency Distribution
- Given Below is the Frequency Distribution of Driving Speeds (In Km/Hour) of The Vehicles of 400 College Students
- Represent the Following Data by Histogram
- The following is the frequency distribution of waiting time at ATM centre; draw histogram to represent the data
- Draw Histogram and Frequency Polygon on the Same Graph Paper for the Following Frequency Distribution
- Draw a histogram of the following data. Height of Student (Cm) 135 - 140, 140 - 145, 145 - 150, 150 - 155 No. of Students 4, 12, 16, 8
- The following frequency distribution table shows marks obtained by 180 students in Mathematics examination. Marks 0 - 10, 10 - 20, 20 - 30, 30 - 40, 40 - 50 No. of students 25, x, 30, 2x, 65
- Represent the Following Data by Histogram:
- Draw Histogram and Hence the Frequency Polygon for the Following Frequency Distribution:
- Show the following data by a frequency polygon: Electricity bill (₹) Families 200 – 400 240 400 – 600 300 600 – 800 450 800 – 1000 350 1000 – 1200 160
- The Marks Scored by Students in Mathematics in a Certain Examination Are Given Below
- Draw the Histogram and Hence, the Frequency Polygon for the Following Frequency Distribution:
- The Marks Scored by Students in Mathematics in a Certain Examination Are Given Below :Draw Histogram for the Above Data.
- Represent the following data by histogram: Price of Sugar (per kg in ₹) Number of Weeks 18 – 20 4 20 – 22 8 22 – 24 22 24 – 26 12 26 – 28 6 28 – 30 8
- The Maximum Bowing Speed (Km/Hour) Or 33 Players at a Cricket Coaching Centre is Given Below:
- The Time Required for Some Students to Complete a Science Experiment and the Number of Students is Shown in the Following Grouped Frequency Distribution Table.
