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Advanced Statistics with Computer Application
1. Advanced Statistics
with Computer
Application
GROUP 1
MPA 1Y1-1
Advanced Statistics with Computer Application
Marivic De Gracia, Azenith Gonzalgo-Pua, Jaime Anne Larracas,
Djeriel Estrella, Florence Villpando-Mendoza, and Lyka Merilles
2. Introduction of Statistics and Importance of Statistics
Frequency Distribution and their Graphic Presentation
Collection and Presentation of Data
Outline
Measure of Central Tendency
3. STATISTICS
It is a branch of mathematics
that deals with collecting,
analyzing, interpreting,
organizing and presenting data.
It is a powerful tool used to make
sense of large amounts of
information, drawing
conclusions, making predictions,
and informing decisions based
on data.
5. Importance of Statistics
It is essential for analyzing and interpreting data,
providing the tools needed to make informed
decisions based on empirical evidence.
It helps people make informed decisions.
Governments, organizations, and businesses all collect
statistics to help them track progress, measure
performance, analyze problems, and prioritize.
6. • Data Driven Decision Making
• Understanding and Managing
Uncertainty
• Scientific Research and Innovation
• Social Understanding and Policy
Development
• Quality Control and Improvement
• Education and Learning
• Personal Decision Making
• Global Development and Sustainability
If Statistics is effectively utilized ....
8. DATA
Refers to any facts or figures that
are collated with the intention of
being presented, interpreted, and
analyzed.
9. Qualitative Quantitative
Data may be:
Data that describes
characteristics or
qualities.
Data that is
quantified or
measured.
Usually deals with
language
Usually deals with
numbers.
is descriptive. It
includes things like
color, texture, and
taste.
is numerical. It
includes things like
height, rate, and
speed.
10. TYPES OF QUANTITATIVE DATA
Discrete Data
The data that have fixed value is
called discrete data, discrete data can easily
be counted
Continuous Data
The data that has no fixed value and has a
range of data is called continuous data. It can
be measured
11. Identify each of the following pieces of data about
the girl pictured to the right as either qualitative or
quantitative:
1. Pink pants
2. Short hair
3.Five feet, three inches tall
4.Twenty years old
5.Outgoing personality
CHECK FOR UNDERSTANDING
12. Identify each of the following pieces of data about
the girl pictured to the right as either qualitative or
quantitative:
1. Pink pants = qualitative
2. Short hair = qualitative
3.Five feet, three inches tall = quantitative
4.Twenty two years old = quantitative
5.Outgoing personality = qualitative
CHECK FOR UNDERSTANDING
13. SOURCES OF DATA
Primary Data
is a type of information that is
obtained directly from the first-
hand source through experiments,
surveys or observations.
Secondary Data
is data collected by someone other
than the actual user. It means that
the information is already
available, and someone analyses
it.
15. Surveys and Questionnaires
Description: A method of gathering information from a sample of
people, typically by asking them a series of questions.
Application: Useful for collecting a large amount of data quickly from a
diverse group.
Experiments
Description: A method where variables are controlled and
manipulated to observe their effect on other variables.
Application: Commonly used in scientific research to test
hypotheses.
16. Observational Studies
Description: A method of collecting data by observing subjects in their
natural environment without interference.
Application: Useful when manipulation of variables is not possible or
ethical
Interviews
Description: A method involving direct, face-to-face, or telephonic
interaction to gather detailed information.
Application: Useful for collecting in-depth qualitative data.
17. Focus Group
Description: A method where a small group of people discuss a topic,
guided by a moderator, to gather opinions and attitudes.
Application: Useful for exploring complex issues and generating ideas.
Existing Records and Database
Description: A method that involves using pre-existing data from
sources like government databases, business records, or
academic research.
Application: Cost-effective and time-saving, but may require
careful evaluation of data reliability.
19. Graphical
• exhibits the relation
between data, ideas,
information and concepts in
a diagram
• easy to understand
• depends on the type of
information in a particular
domain
Tabular
• A systematic
organization of
data in columns
and rows
Three Methods to Present Data
Textual
• presented in
paragraph form
• written and read
• a combination of
texts and figures.
21. LI NE GRA P H
• Shows trends over time
• Can use more than one on the
same graph to compare data
sets
• Good for small amounts of
data
22. • Counts how many times data
occurs (frequency)
• Good for small amounts of
data
DOT P LOT
23. BAR GR AP H
• Used to compare groups.
• Used rectangular bars to
present the frequency or
value of data.
• Bars can be vertical or
horizontal.
24. • Used to depict parts of a
whole.
• A Circular chart divided
into sectors, with each
sector representing a
proportion of the whole.
P IE CHA RT
25. • Can use more than one to
compare data on the same
graph
• Good for large amounts of
data
B O X & W H I S K E R P L OT
26. • Counts how many times data
occurs between set ranges
• Good for large amounts of
data
HI STO GR AM
27. • Used images or symbols to
represent data .
• Each symbol represents a
specific quality, making it
easy to visualize and
compare.
P I C T O G R A P H
28. SCAT T ER P LOT
• Great for analyzing correlation
between two variables
• Good for large amounts of
data
29. Statistics provide single values to represent
data sets, but graphs are another tool for
analyzing data. Graphs represent data
visually, and serve to make trends in data
more clear.
ANALYZING GRAPHS
30. The same researcher is finished with her
experiment on the effects of music on plant
growth. She has calculated the average
amount of growth done by each group of
plants (Group One: 4 in., Group Two: 2 in.,
Group Three: 5 in.). What type of graph
would be best for this data set?
CHECK FOR UNDERSTANDING
31. ...she has calculated the average amount of
growth done by each group of plants (Group One:
4 in., Group Two: 2 in., Group Three: 5 in.). What
type of graph would be best for this data set?
CHECK FOR UNDERSTANDING
A bar graph would be best for this data set
because she is comparing groups of plants.