Skewed Distribution.....................

A skewed distribution is a probability distribution where the data is not symmetrically distributed around the mean. It can be positively skewed (long tail on the right) or negatively skewed (long tail on the left). The mean, median, and mode are not equal in a skewed distribution. A PowerPoint presentation on skewed distribution can cover its definition, types, measures of central tendency, examples, effects, data visualization techniques, skewness coefficient, and statistical significance.

1. Skewed Distribution Presented by: Regbert N. Oabel

2. Normal Curve

3. Normal Curve

4. Left Skewed Distribution

5. Left Skewed Distribution There is a long tail in the negative direction on the number line. The mean is also to the left of the peak.

6. Left Skewed Distribution

7. Example A test took place in a class of 19 students. The score students obtained from 100 items are:

8. Scores 50 56 56 58 58 58 60 60 60 63 63 68 69 70 70 70 70 75 78

9. 50 56 56 58 58 58 60 60 60 63 63 68 69 70 70 70 70 75 78 Mean : Median : Mode : 63.79 63 70

10. Left Skewed Distribution

11. Right Skewed Distribution

12. Right Skewed Distribution There is a long tail in the positive direction on the number line. The mean is also to the right of the peak.

13. Right Skewed Distribution

14. Example A test took place in a class of 25 students. The score students obtained from 50 items are:

15. Scores 50 49 48 46 45 44 44 42 42 40 40 38 38 38 36 36 36 36 36 35 34 34 32 30 30

16. Mean : Median : Mode : 39.16 38 36 Scores 50 49 48 46 45 44 44 42 42 40 40 38 38 38 36 36 36 36 36 35 34 34 32 30 30

17. Right Skewed Distribution