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STATISTICS &
PROBABILITY
COURSE DESCRIPTION
At the end of the course, the
students must know how to find
the mean and variance of a
random variable, to apply sampling
techniques and distributions,
to estimate population mean and
proportion, to perform hypothesis
testing on population mean and
proportion, and to perform
correlation and regression
PERFORMANCE TASK
… to conduct a survey and
analyze the result using
statistics
LESSON 1
Random
Variables &
Its
Probability
A. VARIABLES
A variable is a
characteristic or
condition that can
change or take on
different values.
RANDOM
VARIABLES
1. Random Variable (RV): A
numeric outcome that
results from an experiment
2. For each element of an
experiment’s sample space,
the random variable can
take on exactly one value
RANDOM
VARIABLES
3. Random Variables are
denoted by upper case
letters (Y)
4. A random variable assumes
numerical values associated
with the random outcome of an
TYPES OF RANDOM
VARIABLES
1. A discrete random
variable can assume a
countable number of values.
Number of steps to the top of the
Eiffel Tower
Discrete variables are
countable in a finite amount of
time. For example, you can
count the change in your
pocket. You can count the
money in your bank account.
You could also count the
amount of money
in everyone’s bank account. It
might take you a long time to
count that last item, but the
Discrete Random Variables
Number of sales
Number of calls
Shares of stock
People in line
Mistakes per page
Variables that can only
take on a finite number of
values
© 2011 Pearson Education, Inc
Discrete Random Variable Examples
Experiment Random
Variable
Possible
Values
Count Cars at Toll
Between 11:00 & 1:00
# Cars
Arriving
0, 1,
2, ..., ∞
Make 100 Sales Calls
# Sales 0, 1, 2, ..., 100
Inspect 70 Radios # Defective
0, 1, 2, ..., 70
Answer 33 Questions
# Correct0, 1, 2, ..., 33
TYPES OF RANDOM
VARIABLES
2. A continuous random
variable can assume any value
along a given interval of a number
line.
The time a tourist stays at the top
once he gets there
• Continuous Random
Variables
–Length
–Depth
–Volume
–Time
–Weight
Variables that can take on
an infinite number of
possible values
© 2011 Pearson Education, Inc
Continuous Random Variable
Examples
Measure Time
Between Arrivals
Inter-Arrival
Time
0, 1.3, 2.78, ...
Experiment Random
Variable
Possible
Values
Weigh 100 People Weight 45.1, 78, ...
Measure Part Life Hours 900, 875.9, ...
Amount spent on food$ amount 54.12, 42, ...
Formative Assessment
Classify the following
according to type of
variable.
1. The number of goods
sold in a retail store
2. Volume of gasoline
consumed by an
automatic car
3. Names listed in a voting
center
4. Outcomes when tossing
a coin
6. Diastolic blood pressure
7. Thickness of a book
8. Intensity of earthquake
9. The components of
vectors
10. Color of hair
Activity 3.1 – A
Identify if the given
information/condition is a
Continuous or Discrete
Variable
1. Amount of sugar intake
in a day
2. Number of SUV along
EDSA during rush hour
3. Number of students
present during the
Christmas Party
celebration
4. Average height of Grade
5. The number of home
runs in a baseball game
6. Final score in a Quarterly
Assessment
7. Distance in meters of JHS
and SHS buildings.
8. Gender of a new born
baby
9. Body temperature
10. Speed of a motorcycle

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power point presentation for statistics and probability

  • 2. COURSE DESCRIPTION At the end of the course, the students must know how to find the mean and variance of a random variable, to apply sampling techniques and distributions, to estimate population mean and proportion, to perform hypothesis testing on population mean and proportion, and to perform correlation and regression
  • 3. PERFORMANCE TASK … to conduct a survey and analyze the result using statistics
  • 5. A. VARIABLES A variable is a characteristic or condition that can change or take on different values.
  • 6. RANDOM VARIABLES 1. Random Variable (RV): A numeric outcome that results from an experiment 2. For each element of an experiment’s sample space, the random variable can take on exactly one value
  • 7. RANDOM VARIABLES 3. Random Variables are denoted by upper case letters (Y) 4. A random variable assumes numerical values associated with the random outcome of an
  • 8. TYPES OF RANDOM VARIABLES 1. A discrete random variable can assume a countable number of values. Number of steps to the top of the Eiffel Tower
  • 9. Discrete variables are countable in a finite amount of time. For example, you can count the change in your pocket. You can count the money in your bank account. You could also count the amount of money in everyone’s bank account. It might take you a long time to count that last item, but the
  • 10. Discrete Random Variables Number of sales Number of calls Shares of stock People in line Mistakes per page Variables that can only take on a finite number of values
  • 11. © 2011 Pearson Education, Inc Discrete Random Variable Examples Experiment Random Variable Possible Values Count Cars at Toll Between 11:00 & 1:00 # Cars Arriving 0, 1, 2, ..., ∞ Make 100 Sales Calls # Sales 0, 1, 2, ..., 100 Inspect 70 Radios # Defective 0, 1, 2, ..., 70 Answer 33 Questions # Correct0, 1, 2, ..., 33
  • 12. TYPES OF RANDOM VARIABLES 2. A continuous random variable can assume any value along a given interval of a number line. The time a tourist stays at the top once he gets there
  • 14. © 2011 Pearson Education, Inc Continuous Random Variable Examples Measure Time Between Arrivals Inter-Arrival Time 0, 1.3, 2.78, ... Experiment Random Variable Possible Values Weigh 100 People Weight 45.1, 78, ... Measure Part Life Hours 900, 875.9, ... Amount spent on food$ amount 54.12, 42, ...
  • 15. Formative Assessment Classify the following according to type of variable.
  • 16. 1. The number of goods sold in a retail store 2. Volume of gasoline consumed by an automatic car 3. Names listed in a voting center 4. Outcomes when tossing a coin
  • 17. 6. Diastolic blood pressure 7. Thickness of a book 8. Intensity of earthquake 9. The components of vectors 10. Color of hair
  • 18. Activity 3.1 – A Identify if the given information/condition is a Continuous or Discrete Variable
  • 19. 1. Amount of sugar intake in a day 2. Number of SUV along EDSA during rush hour 3. Number of students present during the Christmas Party celebration 4. Average height of Grade
  • 20. 5. The number of home runs in a baseball game 6. Final score in a Quarterly Assessment 7. Distance in meters of JHS and SHS buildings.
  • 21. 8. Gender of a new born baby 9. Body temperature 10. Speed of a motorcycle