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A Presentation

On Chapter –
14 (Statistics).
What is statistics?








a branch of mathematics that provides techniques
to analyze whether or not your data is significant
(meaningful)
Statistical applications are based on probability
statements
Nothing is “proved” with statistics
Statistics are reported
Statistics report the probability that similar results
would occur if you repeated the experiment
Mean – arithmetic average = Σx/n
Median – the halfway point
Mode – the most common answer
Distribution Chart of Heights of 100 Control Plants

Looking at profile of data:
Distribution
• What is the frequency of distribution,
where are the data points?

Distribution Chart of Heights of 100 Control Plants
Class (height of plants-cm)

Number of plants in each class

0.0-0.9

3

1.0-1.9

10

2.0-2.9

21

3.0-3.9

30

4.0-4.9

20

5.0-5.9

14

6.0-6.9

2
Mode and Median




Mode: most frequently seen value (if no
numbers repeat then the mode = 0)
Median: the middle number




If you have an odd number of data then the
median is the value in the middle of the set
If you have an even number of data then the
median is the average between the two
middle values in the set.
2-1 Frequency Distributions


Frequency Distribution

lists classes (or categories) of values, along
with frequencies (or counts) of the number
of values that fall into each class
Ogive

Upper Class Limit
(points are plotted at the upper right corner of each bar in
the histogram)
Definitions
Mean
(Arithmetic Mean)
AVERAGE
the number obtained by adding the values
and dividing the total by the number of
values
Statistical Computations (the Math)


If you are using a sample population
• Arithmetic Mean (average)

The sum of all the scores
divided by the total number of scores.
Definitions


Median
the middle value when the original
data values are arranged in order of
increasing (or decreasing) magnitude
~

not affected by an extreme value
Mean from a Frequency Table
use class midpoint of classes for
variable x

Σ (x • f)
x =
Σf

x = class midpoint
f = frequency

Σ f=n
Mean by Three Methods
• By Direct Method= fi.xi
•
•

fi
By Assumed Method=a+ fi.di
fi
By Step Deviation Method=a+ fi.ui X i
fi
For mula To Find
Mode
Mode=Highest Frequency=f1, class
Preceding to f1 = f0, class succeeding to
fi= f2, Lower Value in which f1 Lies, h=
class intervals.
 Mode= l+
f1 – f0 X h
2f1 – f0 – f2
Formula to find Median
 Median= n=total no. of observations;

divided by 2; becomes=n ,
2
 l =Lower Limit in which n lies, fi= class in
which n lies, c.f.= class preceding fi, h=
class intervals.
 Median=
n _ c.f.
l+ 2_________ X h
fi
Histogram-Frequency Distribution
Charts

This is called a “normal” curve or a bell curve
This is an “idealized” curve and is theoretical based on an infinite number
derived from a sample
1) Statistics are useful for figuring out random
noise from real effects
2) Numbers are not absolute, and they can be
easily manipulated
3) Always scrutinize data closely, and draw
your own conclusions.
4) 85% of all statistics are made up on the
spot: the rest are all wrong

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Statatics

  • 1.
  • 2. A Presentation On Chapter – 14 (Statistics).
  • 3. What is statistics?      a branch of mathematics that provides techniques to analyze whether or not your data is significant (meaningful) Statistical applications are based on probability statements Nothing is “proved” with statistics Statistics are reported Statistics report the probability that similar results would occur if you repeated the experiment
  • 4. Mean – arithmetic average = Σx/n Median – the halfway point Mode – the most common answer
  • 5. Distribution Chart of Heights of 100 Control Plants Looking at profile of data: Distribution • What is the frequency of distribution, where are the data points? Distribution Chart of Heights of 100 Control Plants Class (height of plants-cm) Number of plants in each class 0.0-0.9 3 1.0-1.9 10 2.0-2.9 21 3.0-3.9 30 4.0-4.9 20 5.0-5.9 14 6.0-6.9 2
  • 6. Mode and Median   Mode: most frequently seen value (if no numbers repeat then the mode = 0) Median: the middle number   If you have an odd number of data then the median is the value in the middle of the set If you have an even number of data then the median is the average between the two middle values in the set.
  • 7. 2-1 Frequency Distributions  Frequency Distribution lists classes (or categories) of values, along with frequencies (or counts) of the number of values that fall into each class
  • 8. Ogive Upper Class Limit (points are plotted at the upper right corner of each bar in the histogram)
  • 9. Definitions Mean (Arithmetic Mean) AVERAGE the number obtained by adding the values and dividing the total by the number of values
  • 10. Statistical Computations (the Math)  If you are using a sample population • Arithmetic Mean (average) The sum of all the scores divided by the total number of scores.
  • 11. Definitions  Median the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude ~ not affected by an extreme value
  • 12. Mean from a Frequency Table use class midpoint of classes for variable x Σ (x • f) x = Σf x = class midpoint f = frequency Σ f=n
  • 13. Mean by Three Methods • By Direct Method= fi.xi • • fi By Assumed Method=a+ fi.di fi By Step Deviation Method=a+ fi.ui X i fi
  • 14. For mula To Find Mode Mode=Highest Frequency=f1, class Preceding to f1 = f0, class succeeding to fi= f2, Lower Value in which f1 Lies, h= class intervals.  Mode= l+ f1 – f0 X h 2f1 – f0 – f2
  • 15. Formula to find Median  Median= n=total no. of observations; divided by 2; becomes=n , 2  l =Lower Limit in which n lies, fi= class in which n lies, c.f.= class preceding fi, h= class intervals.  Median= n _ c.f. l+ 2_________ X h fi
  • 16. Histogram-Frequency Distribution Charts This is called a “normal” curve or a bell curve This is an “idealized” curve and is theoretical based on an infinite number derived from a sample
  • 17. 1) Statistics are useful for figuring out random noise from real effects 2) Numbers are not absolute, and they can be easily manipulated 3) Always scrutinize data closely, and draw your own conclusions. 4) 85% of all statistics are made up on the spot: the rest are all wrong

Editor's Notes

  1. The points are the frequency values of each class in a cumulative frequency table. Notice the use of boundaries on the horizontal scale and that the graph begins with the lower boundary of the first class and ends with the upper boundary of the last class. Ogives are useful for determining the number of values less than some particular class boundary.
  2. Calculators can easily find the mean of frequency tables, using the class midpoints and the frequencies. Mean values found from frequency tables will be an approximation of the mean value found using the actual data.