This document discusses statistical inference and hypothesis testing, including the different types of hypotheses, interpreting hypothesis test results, zones of acceptance and rejection, p-values, t-tests (including one-tailed, two-tailed, and paired samples tests), and steps for performing t-tests. It provides examples of using a one sample t-test to compare test scores to a set score and a two sample t-test to compare the mean scores of two groups of different sizes.

2. EDUCATIONAL STATISTICS

4. INTRODUCTION:

5. BASIS OF STATISCAL INFERENCE

6. HYPOTHESIS AND IT’S TESTING

7. TYPES OF HYPOTHESIS

8. INTERPRETING THE RESULT OF
HYPOTHESIS

9. ZONE OF ACCEPTANCE AND REJECTION

10. P-VALUE

11. T-TEST

12. ONE-TAILED TEST

13. RIGHT TAILED TEST LEFT TAILED TEST

14. TWO TAILED TEST

15. TYPES OF STUDENT T-TEST
ONE SAMPLE TWO SAMPLE PAIRED

16. STEPS IN PERFORMING T-TEST

17. TABLE FOR TEST

18. 10 individuals had taken an exam and we want to test whether their scores, all
together, are significantly different from the score of 100.
EXAMPLE FOR ONE SAMPLE T TEST

19. Suppose we have to compare the mean value of two groups, one with
7 subjects and the other with 5 subjects .
EXAMPLE FOR TWO SAMPLE T TEST

20. Applications of t test