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GOOD
MORNING
EVERYONE!
CHECKING OF
ATTENDANCE
RECAP
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:
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.
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
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.
presentation
Normal Distribution
Curve is a curve that is
symmetrical and the
skewness is 0.
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.
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.
What is a normal probability
distribution?
What are the properties of a
normal probability distribution?
Think of other data types
which you can consider as
normal probability distribution.
EVALUATION
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.
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.

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Normal Distribution Curve

  • 4.
  • 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.
  • 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.
  • 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.