Parametric test

just prepareation for mphill study,this is my first practice in linked in. some sources are missing.

1. Good evening Welcome

2. Parametric test Presented by Romharsan poudel Mphill schoolar Roll No: 75155010(mathematics education) I semester Nepal open university 2075/04/29

3. Parametric test A statistical test, in which specific assumptions are made about the population parameter is known as parametric test.

4. when to use parametric test? To use parametric test; the following Four conditions have to be satisfied: -Data must be in Interval scale. -Data must be in ratio scale. -Subjects should be randomly selected. _Data should be normally distributed.

5. Determination of parametric test Interval scale: interval between observation in terms of fixed unit of measurement. Eg . Measures of temperature. Ratio scale: The scale has a fundamental zero point. Eg . Age, income. (IN CASE OF NOMINAL AND ORDINAL SCALE NON-PARAMETRIC TEST IS USED)

6. Parametric VS Non Parametric test . PARAMETRIC NON-PARAMETRIC Specific assumptions are made regarding the population No specific assumptions are made regarding the population Parametric test is powerful if it is exists Not powerful like parametric test Test statistics based on distribution Test statistics is arbitrary No parametric test exists for nominal scale data Central measure - mean Can draw more conclusions Non parametric test exists for nominal scale data Central measure - median Simplicity , not affected by outliers

7. Contd. Two sampled t-test Mann- whitney test Paired t test Wilcoxon signed rank test Anova Kruskal _ wallis test

8. TYPES of parametric tests 1.Large samplel tests. Z test 2. Small sample test t-test Independent /unpaired – t test Paired t-test ANOVA(analysis of variance) one way analysis of variance Two way analysis of variance.

9. Thank you