Inferential Data Analysis In Statistics

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TEACHER COMPETENCY

MALE FEMALE 150-184 14 27 185-219 35 72 220-255 118 134

TEACHER COMPETENCY GOVT PVT 150-184 3 38 185-219 66 141 220-255 88 164 TEACHER COMPETENCY UG PG MORE THAN PG 150-184 17 24 185-219 138 69 220- 255 147 105

TEACHER COMPETENCY General OBC SC …show more content…

Researcher has applied both the types of statistical application which are relevant to the study.

Descriptive Data Analysis
Descriptive statistical analysis limits generalization to the particular group of individuals observed no accession are extended beyond this group and any similarity to those outside the group cannot be assumed. The descriptive data analysis gives a general depiction of the types of statistics used in educational research. The descriptive data analysis that has been used are Measures of Central Tendency---- Mean, Measures of Dispersion--- Standard Deviation and Measures of Relationship---- Co-efficient of Correlation. Inferential Data Analysis
Inferential statistical analysis always involves the process of sampling and the selection of a small group assumed to be related to the population from which it is drawn. Provides the concepts of statistical inference and the central limit theorem. Researchers used common inferential statistical procedures like ‘t’ test.

Descriptive Statistical Measures
Provides summary information about the distribution, Variability and Central Tendency of a …show more content…

But for statisticians the term average is unsatisfactory for there are number of types of averages. Only one of which may be appropriate to use in describing given characteristics of a group. Of the many averages that may be used, these have been selected as most useful in educational research is the mean, the median and the mode.

Mean [Arithmetic average]
The mean of a distribution is commonly understood as the arithmetic average. [The term-grade point average] familiar to students, is a mean value. It is computed by dividing the sum of all scores by the number of scores.
The range
The range, the simplest measure of dispersion, is the difference between the highest and lowest scores. In the present study the range is taken as above average level scores, average . Standard deviation
The standard deviation, is the square root of the variance, is most frequently used as a measure of spread or dispersion of scores in a distribution.
Standard deviation for samples [S]
The variance and standard deviation for a population have just been described.
Because most of the time researchers use samples selected from the population.
Table – 3.5 : Details of the statistical techniques used for the Analysis of Data MEAN STANDARD DEVIATION

t-test
CO-EFFICIENT OF

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