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Types of Data
and
Levels of
Measurement
Ruel D. Licanto
Learning
Goals
BE ABLE TO IDENTIFY DATA
AS QUALITATIVE OR
QUANTITATIVE, TO IDENTIFY
QUANTITATIVE DATA AS
DISCRETE OR CONTINUOUS,
AND TO ASSIGN DATA A
LEVEL OF MEASUREMENT
(NOMINAL, ORDINAL,
INTERVAL, OR RATIO).
Types of Data
Qualitative (or categorical) data
consist of values that can be
nonnumerical categories.
Quantitative data (numerical)
consist of values representing
measurements.
Presentation title 3
Classify each of the
following sets of Data as
qualitative or quantitative.
Presentation title 4
1. Brand name of shoes in a
customer survey.
2. Scores on a Multiple Choice
Exam.
3. Height of Grade 11 ABM students.
4. Ethnicity of Grade 11 students of
INHS.
Meet our team
Takuma Hayashi
President
Mirjam Nilsson
Chief Executive Officer
Flora Berggren
Chief Operations Officer
Rajesh Santoshi
VP Marketing
Presentation title 5
Types of Data
Nominal Data are data that is
used to label variables without
quantitative values
Examples:
Color of your hair,
cream, gender, religion, etc.
Presentation title 6
Types of Data
Ordinal Data is a statistical type
of quantitative data in which
naturally occurring ordered
Examples:
Socio-economic status,
Educational attainment,
Presentation title 7
Types of Data
Discrete Data is a type of quantitative
data that includes non-divisible figures
you can count.
Examples:
Population of ABM students,
students who came late everyday,
buildings in INHS.
Presentation title 8
Types of Data
Continuous Data are data that can take
on any value in a given interval.
Examples:
Height of ABM students from
to December, Room temperature from
5:00 PM, Speed of a bus from Isulan to
Presentation title 9
Presentation title
Takuma Hayashi
President
Mirjam Nilsson
Chief Executive Officer
Flora Berggren
Chief Operations Officer
Rajesh Santoshi
VP Marketing
Graham Barnes
VP Product
Rowan Murphy
SEO Strategist
Elizabeth Moore
Product Designer
Robin Kline
Content Developer
10
Levels of
Measurement
Presentation title 11
The simplest level of measurement applies to variables
that can be described solely by names, labels, or
categories. We say that such data are at a nominal
level of measurement.
When we describe data with a ranking or ordering
scheme, such as star ratings of movies or restaurants,
we are using an ordinal level of measurement.
Time Out to Think
Presentation title 12
Consider a survey that asks “What’s your favorite flavor of
ice cream?” We've said that ice cream flavors represent
data at the nominal level of measurement. But suppose
that, for convenience the researchers enter the survey
data into a computer by assigning numbers the different
flavors. For example, they assign 1 = vanilla, 2 =
chocolate, 3 = cookies and cream, and so on. Does this
change the ice cream flavor from nominal to ordinal?
to ordinal? Why or why not?
Levels of
Measurement
Presentation title 13
The ordinal level of measurement provides a
ranking system, but it does not allow us to
determine precise differences between
measurements.
Levels of
Measurement
Presentation title 14
If intervals are meaningful but ratios are not, we
say that the data are at the interval level of
measurement.
When both intervals and ratios are meaningful, we
say that data are at the ratio level of
measurement.
Summary of Data Types and Levels of
Measurement
Presentation title 15
Summary of Data Types and Levels of
Measurement
Presentation title 16
Presentation title 17
Levels of
Measurement
Presentation title 18
Identify the level of measurement (nominal,
ordinal, interval, ratio) for each of the following
following sets of data.
Levels of
Measurement
Presentation title 19
1. Numbers on uniform that identify
players on a basketball team.
Levels of
Measurement
Presentation title 20
2. Student rankings of cafeteria food as
excellent, good, fair, or poor.
Levels of
Measurement
Presentation title 21
3. Temperatures on the Celsius scale.
Levels of
Measurement
Presentation title 22
4. Calendar years of historic events, such as
1776, 1945,or 2001
Levels of
Measurement
Presentation title 23
5. Runners’ times in the Boston
Marathon.
Levels of
Measurement
Presentation title 24
6. Position of Employees in the
Company.
Levels of
Measurement
Presentation title 25
7. Educational Attainment of the
teachers in INHS.
Levels of
Measurement
Presentation title 26
8. Religious Background of the
students of INHS.
Levels of
Measurement
Presentation title 27
9. General Point Average (GPA) of
Grade 11 ABM students in the First
Semester of SY 2022-2023.
Levels of
Measurement
Presentation title 28
10. Time of the day in a 24 hour
scale.
Thank you

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types of Data and levels of Measurement.pptx

  • 1. Types of Data and Levels of Measurement Ruel D. Licanto
  • 2. Learning Goals BE ABLE TO IDENTIFY DATA AS QUALITATIVE OR QUANTITATIVE, TO IDENTIFY QUANTITATIVE DATA AS DISCRETE OR CONTINUOUS, AND TO ASSIGN DATA A LEVEL OF MEASUREMENT (NOMINAL, ORDINAL, INTERVAL, OR RATIO).
  • 3. Types of Data Qualitative (or categorical) data consist of values that can be nonnumerical categories. Quantitative data (numerical) consist of values representing measurements. Presentation title 3
  • 4. Classify each of the following sets of Data as qualitative or quantitative. Presentation title 4 1. Brand name of shoes in a customer survey. 2. Scores on a Multiple Choice Exam. 3. Height of Grade 11 ABM students. 4. Ethnicity of Grade 11 students of INHS.
  • 5. Meet our team Takuma Hayashi President Mirjam Nilsson Chief Executive Officer Flora Berggren Chief Operations Officer Rajesh Santoshi VP Marketing Presentation title 5
  • 6. Types of Data Nominal Data are data that is used to label variables without quantitative values Examples: Color of your hair, cream, gender, religion, etc. Presentation title 6
  • 7. Types of Data Ordinal Data is a statistical type of quantitative data in which naturally occurring ordered Examples: Socio-economic status, Educational attainment, Presentation title 7
  • 8. Types of Data Discrete Data is a type of quantitative data that includes non-divisible figures you can count. Examples: Population of ABM students, students who came late everyday, buildings in INHS. Presentation title 8
  • 9. Types of Data Continuous Data are data that can take on any value in a given interval. Examples: Height of ABM students from to December, Room temperature from 5:00 PM, Speed of a bus from Isulan to Presentation title 9
  • 10. Presentation title Takuma Hayashi President Mirjam Nilsson Chief Executive Officer Flora Berggren Chief Operations Officer Rajesh Santoshi VP Marketing Graham Barnes VP Product Rowan Murphy SEO Strategist Elizabeth Moore Product Designer Robin Kline Content Developer 10
  • 11. Levels of Measurement Presentation title 11 The simplest level of measurement applies to variables that can be described solely by names, labels, or categories. We say that such data are at a nominal level of measurement. When we describe data with a ranking or ordering scheme, such as star ratings of movies or restaurants, we are using an ordinal level of measurement.
  • 12. Time Out to Think Presentation title 12 Consider a survey that asks “What’s your favorite flavor of ice cream?” We've said that ice cream flavors represent data at the nominal level of measurement. But suppose that, for convenience the researchers enter the survey data into a computer by assigning numbers the different flavors. For example, they assign 1 = vanilla, 2 = chocolate, 3 = cookies and cream, and so on. Does this change the ice cream flavor from nominal to ordinal? to ordinal? Why or why not?
  • 13. Levels of Measurement Presentation title 13 The ordinal level of measurement provides a ranking system, but it does not allow us to determine precise differences between measurements.
  • 14. Levels of Measurement Presentation title 14 If intervals are meaningful but ratios are not, we say that the data are at the interval level of measurement. When both intervals and ratios are meaningful, we say that data are at the ratio level of measurement.
  • 15. Summary of Data Types and Levels of Measurement Presentation title 15
  • 16. Summary of Data Types and Levels of Measurement Presentation title 16
  • 18. Levels of Measurement Presentation title 18 Identify the level of measurement (nominal, ordinal, interval, ratio) for each of the following following sets of data.
  • 19. Levels of Measurement Presentation title 19 1. Numbers on uniform that identify players on a basketball team.
  • 20. Levels of Measurement Presentation title 20 2. Student rankings of cafeteria food as excellent, good, fair, or poor.
  • 21. Levels of Measurement Presentation title 21 3. Temperatures on the Celsius scale.
  • 22. Levels of Measurement Presentation title 22 4. Calendar years of historic events, such as 1776, 1945,or 2001
  • 23. Levels of Measurement Presentation title 23 5. Runners’ times in the Boston Marathon.
  • 24. Levels of Measurement Presentation title 24 6. Position of Employees in the Company.
  • 25. Levels of Measurement Presentation title 25 7. Educational Attainment of the teachers in INHS.
  • 26. Levels of Measurement Presentation title 26 8. Religious Background of the students of INHS.
  • 27. Levels of Measurement Presentation title 27 9. General Point Average (GPA) of Grade 11 ABM students in the First Semester of SY 2022-2023.
  • 28. Levels of Measurement Presentation title 28 10. Time of the day in a 24 hour scale.