PrepApti - Quants Menu9>
- Home
- Allegations and Mixtures
- AP GP HP
- Arithmetic Progressions
- Averages
- Boats and Streams
- Geometric Progressions
- Harmonic Progressions
- Clocks
- Calendar
- Clocks and Calendars
- Compound Interest
- Simple Interest
- Simple Interest and Compound Interest
- Linear Equations
- Quadratic Equations
- Co-ordinate geometry
- Perimeter Area Volume
- Divisibility
- HCF and LCM
- HCF
- LCM
- Number System
- Percentages
- Permutations Combinations
- Combinations
- Piipes and Cisterns
- Probability
- Work and Time
- Succesive Discounts
- Heights and Distance
- Decimals and Fractions
- Logarithm
- Venn Diagrams
- Geometry
- Set Theory
- Problem on Ages
- Inverse
- Surds and Indices
- Profit and Loss
- Speed, Time and Distance
- Algebra
- Ratio & Proportion
- Number, Decimals and Fractions
Elementary Statistics Formulae
Basic Concepts of Elementary Statistics
Statistics is a branch of mathematics that deal with the collection, organization, presentation, analysis and interpretation of data.In simple words statistics deals with data. On this page we’ll look fro some of the Formulas for Elementary Statistics to make your calculations easier and rapid.
There are four measures of dispersion.These can be written as:
Range
Mean deviation
Variance
Standard deviation
Formulas for Elementary Statistics
1) Mean= \bar{x} =\frac{\sum x_{i}}{N}
x_{i}=\text{terms given}
N=Total number of terms
2) Mode=M=The value which occurs most frequently
3)Mean Deviation,M.D.= \frac{\sum |x_{i}-M|}{N} (from average deviation)
4)Variance, \sigma ^{2} =\frac{\sum(x_{i}-\bar{x})^{2}}{N-1}
5)Standard deviation, \sigma =\sqrt{variance}
= \sqrt{\frac{\sum(x_{i}-\bar{x})^{2}}{N}}
Know More About Elementary Statistics Term
Mean:Mean can be defined as the sum of all the elements divided by number of all elements.
Mean=\frac {\text{sum of all the elements}}{\text{number of elements}}
Median:Median is defined as the middle value of a set of data. If a set consists of an odd number of values, then the middle value will be the median of the set.Else, if the set consists of an even number of sets, then the median will be the average of the two middle values.
Mode:The mode can be defined as the most frequent value in the given set of data.
Variance:Variance is used to calculate the standard deviation.It is always positive.
Standard deviation:It is the square root of the variance.
Examples of how to find Mean,Median,Variance and Standard deviation
Consider the data set containing the values 20, 24, 25, 36, 25, 22, 23.
Example 1: Find the mean of the data.
Solution:We know that ,
Mean=\frac {\text{sum of all the elements}}{\text{number of elements}}
Mean= \frac{20+24+25+36+25+22+23}{7}
=25
Example 2:For the above given data calculate the median.
Solution:Re-arranging the above data in ascending order we get 20, 22, 23, 24, 25, 25, 36.
The middle value will be the median.
So,the middle value is 24.Hence,the median is 24.
Example 3:Calculate the mode for the above data.
Solution:The mode can be defined as the most frequent value in the given set of data.In the data given the most frequent value is 25 which occurred more than any other value.Hence the mode is 25.
Example 4:Calculate the range for the above set of data.
Solution:Range=higher value-lower value
=36-20
=16
Example 5:Calculate the variance of the set of data given.
Solution: \sigma ^{2} =\frac{\sum(x_{i}-\bar{x})^{2}}{N-1}
Mean of the data=25
now,using \sum(x_{i}-\bar{x})^{2}
=>20-25=-5 and square of -5=25
=>24-25=-1 and square of -1=1
=>25-25=0 and square of 0=0
=>36-25=11 and square of 11=121
=>25-25=0 and square of 0=0
=>22-25=-3 and square of -3=9
=>23-25=-2 and square of -2=4
=>Adding the squared difference,
25+1+0+121+0+9+4=160
and number of elements=7
Hence,Variance=\frac{160}{6}=22.857 (approximately)
Login/Signup to comment