This document discusses the role and importance of statistics in analyzing assessment data. It explains that statistics is used to collect, analyze, organize, and interpret numerical data. It is important for drawing conclusions and inferences from facts. In education, statistics helps with constructing and standardizing tests, understanding individual student differences, comparing evaluation methods, and making predictions about student progress. The document also defines key differences between populations and samples, noting that a population includes all data elements while a sample is a subset, and their means and standard deviations are calculated differently.

2. ROLE AND IMPORTANCE OF STATISTICS
IN ANALYSING ASSESENT DATA,
POPULATION AND SAMPLE
SUBMITED BY
ASWATHY M K
PHYSICAL SCIENCE

3. STATISTICS
Statistics is a
branch of mathematics dealing with the
collection, analysis, interpretation, presentation,
and organization of data.

4. ROLE AND IMPORTANCE OF STATISTICS
IN ANALYSING ASSESSMENT DATA
1.In the collection of evidences or facts (
numerical or otherwise)
2.In the classification, organisation and
summarization of numerical facts.
3.In drawibg general conclusionsand inferences
or making predictions on the basis of
particular facts and evidences.

5. NEEDS OF STATISTICS IN FIELD
OF EDUCATION
1.In the Construction and standardization
of various tests and measures.
2.In making proper use of the results of
various tests and measures.
3.To know individual differences of our
students.

6. 4.To compare the suitability of one method of technique
or the other.
5.To compare the results of one system of evaluation with
the other.
6.To compare the function and working of one institution
with the other.
7.To make prediction regarding the future progress of the
students.
8.To make selection, ckassification and promotion of the
students.

7. Statistics is now
regardef as an indispensable
instrument in the field of
education, especially in
measurement or evaluation. In
education, it is very helpful to
the teachers in the proper

8. POPULATION AND SAMPLE
1.The main difference between a
population and sample has to do with
how observations are assigned to the
data set.
2.A population includes all of the
elements from a set of data and a sample
consists of one or more observations

9. 3. Depending on the sampling method,
a sample can have fewer observations
than the population, the same number
of observations or more observations.
4. More than one sample can be
derived from the same population.

10. 5. The mean of a population is
denoted by the symbal i ; but the
mean of a sample is denoted by the
symbol x̅ .
6. The formula for the standard deviation
of a population is different from the
formula for the standard deviation of a