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STATISTICS
DEFINITION,
FUNCTION, ROLE IN
EDUCATION AND ITS
CONCEPTS
Statistics is a collection
Numbers which represent
facts and measurement.
Statistics can be
as:
defined
I
a. Numerical facts which can be
measured enumerated and estimated.
b. Facts are homogeneous and related to
each other.
c. Facts must be accurate.
d. It must be collected systematically.
FUNCTION OF
STATISTICS
๏‚„The following points
explain the functions
of statistics
๏ƒ˜It helps in collecting and
presenting the data in a
systematic manner.
๏ƒ˜It helps to understand unwisely and
complex data by simplifying it.
๏ƒ˜It helps to classify the
data.
๏ƒ˜It provides basis and
techniques for making
comparison.
๏ƒ˜It helps to study the relationship
between different phenomena.
๏ƒ˜It helps to indicate the trend of
behaviour.
๏ƒ˜It helps to formulate the
hypothesis and test it.
๏ƒ˜It helps to draw rational
conclusions.
๏‚„Statistics
in
Education
๏‚„Why Statistics
have a big part in
Eduaction?
๏‚„Statistics helps
the teacher in the
following way:
๏‚„It helps the teacher to provide the most exact
type of description.
๏‚„It makes the teacher definite and exact in
procedures and thinking.
๏‚„It enables the teacher to summarize the results
in a meaningful and convenient form.
๏‚„It helps the teacher to predict the future
performance of the pupils.
๏‚„It enables the teacher to draw general
conclusions.
๏‚„It enables the teacher to analyse some of the
causal factors underlying complex and
otherwise bewildering events.
IMPORTANT
CONCEPTS IN
STATISTICS
1. Data
2. Score
3. Continuous Series
4. Discrete Series
5. Variable
6.. Variability
7. Frequency
8.Frequency Distribution
9.Correlation
10.Coefficient
11.Coefficient of Correlation
Data-maybe defined as
information obtained from
a survey, an experiment or
an investigation.
Score is the numerical
evaluation of the
performance of an
individual on a test.
Continuous series is a series of
observations in which the various
possible values of the variable may
differ by infinitesimal amounts. In the
series it is possible to occur at any
intermediate value within the range of
the series.
Discrete Series
is a series in which the values of a variable
are arranged according to magnitude or to
some ordered principles. In this series it is
not possible to occur at any intermediate
value within the range. The example of such
is merit, number of persons or census data.
V
Variable-Any trait or quality
which has the ability to vary or
has at least two points of
measurement. It is the trait
that changes from one case or
condition to another.
Variablity
The spread of scores, usually
indicated by quartile
deviations, standard
deviations, range etc.
Frequency may be defined as the
number of occurrences of any given
value or set of values. For example 8
students have scored 65. So that the
score 65 has a frequency of 8.
Frequency Distribution
It is a tabulation showing the
frequencies of the values of a
variable when these values are
arranged in order of magnitude.
-
Correlation
๏‚„Correlation means the interdepended
between two or more random variables.
It may be stated as the tendency for
corresponding observation in two or
more series to vary together from the
averages of their respective series, that
is, to have similar relative position.
If corresponding observations tend to have similar
relative positions in their respective series, the
correlation is positive; if the corresponding values
tend to be divergent in position in their respective
series, the correlation is negative; absence of any
systematic tendency for the corresponding obser-
vations to be either similar or dissimilar in their
relative positions indicated zero correlation.
Coeffficient It is a statistical
constant that is
independent of the unit of
measurement.
Coefficient of correlation:
It is a pure number, limited by the
values + 1.00 and โ€”1.00 that
expresses the degree of relationship
between two continuous variables.
End
Thank You!
DALIA M. SANCHEZ/DIOVIE LUBOS/CHILLY DELOS REYES

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Definition, Function, Role in Education and Its Concepts

  • 3. Statistics is a collection Numbers which represent facts and measurement.
  • 5. I a. Numerical facts which can be measured enumerated and estimated. b. Facts are homogeneous and related to each other. c. Facts must be accurate. d. It must be collected systematically.
  • 7. ๏‚„The following points explain the functions of statistics
  • 8. ๏ƒ˜It helps in collecting and presenting the data in a systematic manner. ๏ƒ˜It helps to understand unwisely and complex data by simplifying it.
  • 9. ๏ƒ˜It helps to classify the data. ๏ƒ˜It provides basis and techniques for making comparison.
  • 10. ๏ƒ˜It helps to study the relationship between different phenomena. ๏ƒ˜It helps to indicate the trend of behaviour.
  • 11. ๏ƒ˜It helps to formulate the hypothesis and test it. ๏ƒ˜It helps to draw rational conclusions.
  • 13. ๏‚„Why Statistics have a big part in Eduaction?
  • 14. ๏‚„Statistics helps the teacher in the following way:
  • 15. ๏‚„It helps the teacher to provide the most exact type of description. ๏‚„It makes the teacher definite and exact in procedures and thinking. ๏‚„It enables the teacher to summarize the results in a meaningful and convenient form.
  • 16. ๏‚„It helps the teacher to predict the future performance of the pupils. ๏‚„It enables the teacher to draw general conclusions. ๏‚„It enables the teacher to analyse some of the causal factors underlying complex and otherwise bewildering events.
  • 18. 1. Data 2. Score 3. Continuous Series 4. Discrete Series 5. Variable 6.. Variability 7. Frequency 8.Frequency Distribution 9.Correlation 10.Coefficient 11.Coefficient of Correlation
  • 19. Data-maybe defined as information obtained from a survey, an experiment or an investigation.
  • 20. Score is the numerical evaluation of the performance of an individual on a test.
  • 21. Continuous series is a series of observations in which the various possible values of the variable may differ by infinitesimal amounts. In the series it is possible to occur at any intermediate value within the range of the series.
  • 22. Discrete Series is a series in which the values of a variable are arranged according to magnitude or to some ordered principles. In this series it is not possible to occur at any intermediate value within the range. The example of such is merit, number of persons or census data. V
  • 23. Variable-Any trait or quality which has the ability to vary or has at least two points of measurement. It is the trait that changes from one case or condition to another.
  • 24. Variablity The spread of scores, usually indicated by quartile deviations, standard deviations, range etc.
  • 25. Frequency may be defined as the number of occurrences of any given value or set of values. For example 8 students have scored 65. So that the score 65 has a frequency of 8.
  • 26. Frequency Distribution It is a tabulation showing the frequencies of the values of a variable when these values are arranged in order of magnitude. -
  • 27. Correlation ๏‚„Correlation means the interdepended between two or more random variables. It may be stated as the tendency for corresponding observation in two or more series to vary together from the averages of their respective series, that is, to have similar relative position.
  • 28. If corresponding observations tend to have similar relative positions in their respective series, the correlation is positive; if the corresponding values tend to be divergent in position in their respective series, the correlation is negative; absence of any systematic tendency for the corresponding obser- vations to be either similar or dissimilar in their relative positions indicated zero correlation.
  • 29. Coeffficient It is a statistical constant that is independent of the unit of measurement.
  • 30. Coefficient of correlation: It is a pure number, limited by the values + 1.00 and โ€”1.00 that expresses the degree of relationship between two continuous variables.
  • 31.
  • 32. End Thank You! DALIA M. SANCHEZ/DIOVIE LUBOS/CHILLY DELOS REYES