Normal Distribution Curve
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A ppt for demonstration on the Normal Distribution Curve
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Normal Distribution Curve
- 3. RECAP
- 5. 1. ILLUSTRATE A NORMAL DISTRIBUTION CURVE. 2. DETERMINE / ENUMERATE THE CHARACTERISTICS OF NORMAL DISTRIBUTION CURVE. 3. CITE REAL- LIFE EXAMPLES INVOLVING NORMAL DISTRIBUTION CURVE. 4. RELATE CONCEPT OF NORMAL CURVE WITH OTHER DISCIPLINES THROUGH DIFFERENT MEDIA AND FORMS. LEARNING OBJECTIVES:
- 6. GROUP 1: Spoken Poetry Group Create a poem about bells (in relation to Christmas) composed of least three (stanza) and present it the class. GROUP 2: Poster Makers Group Create a poster which includes bells. Explain the content of your output in front of the class. GROUP 3: Historian Group Trace the history of bells. Include significant events happened with bells.
- 7. GROUP 4: ICT Group Present the following data as bar graphs in Microsoft Excel. X (Score) F (frequency) 1 1 2 2 3 4 4 7 5 11 6 7 7 4 8 2 9 1 X (Score) F (frequency) 1 1 2 2 3 4 4 6 5 9 6 11 7 9 8 6 9 4 10 2 11 1
- 8. GROUP 5: Math Enthusiasts Group Research and explain on the properties/ characteristics of normal distribution curve. GROUP 6: Responders Group Research and explain to the class the importance of bells and other alarm devices in Disaster Risk Reduction and Management. Cite situations specifically.
- 9. presentation
- 10. Normal Distribution Curve is a curve that is symmetrical and the skewness is 0.
- 11. PROPERTIES OF THE NORMAL PROBABILITY DISTRIBUTION 1. The distribution curve is bell-shaped. 2. The curve is symmetrical about its center. 3. The mean, the median and the mode coincide at the center.
- 12. 4. The width of curve is determined by the standard deviation of the distribution. 5. The tails of the curve is asymptotic to the base line. 6. The area under the curve is 1.
- 13. What is a normal probability distribution? What are the properties of a normal probability distribution?
- 14. Think of other data types which you can consider as normal probability distribution.
- 15. EVALUATION
- 16. Test I. MODIFIED TRUE OR FALSE: Tell whether the following statements is true or false, if false identify what makes the given statement false. 1. The standard normal distribution is also called normal curve. 2. The area under a normal curve is 100. 3. The mean of a standard normal curve is 3. 4. The curve of a normal distribution extends indefinitely at the tails. 5. The shape of the normal probability distribution is symmetric about the mean.
- 17. Test II 1. Define normal probability distribution and identify ALL its properties. 2. Cite three (3) data types which you can consider as normal probability distribution.