Warm-Up 1.2
1. A sample is a part of the population. True or False
2. Is the following a Population or a Sample?
A survey of 24 of a company’s 200 employees.
3. Is the following a Population or a Sample?
The age of every student in the SV School District.
4. Is the following a Parameter or a Statistic?
The average annual salary for 35 of a company’s
1200 accountants is $71,000.
Intro Stats
Lesson 1.2
Objectives:
SSBAT distinguish between qualitative and quantitative
data.
SSBAT classify data with respect to the 4 levels of
measurement (nominal, ordinal, interval, and ratio).
Standards: S2.5B
Types of Data
1. Qualitative Data
 Consists of Labels, Attributes, Descriptions
 Data is observed not measured
 Examples: Colors, categories, appearances,
dogs, etc.
 Think qualities
Types of Data
2. Quantitative Data
 Consists of numbers or counts
 Data is measured
 Think quantities
 Examples: Length, height, area, speeds,
dollar amounts, ages, etc.
Determine whether the data are Qualitative or Quantitative.
1. The colors of the automobiles on a car lot
2. The number of seats in a movie theater
3. The numbers on a Jersey
4. A list of house numbers on a street
5. The ages of the employees at a hospital
6. The length of a song
7. The answers to a survey about a student’s
favorite class in school.
Inherent Zero
 A zero that implies “NONE”
 Example: $0 means no money
Not an Inherent Zero
 It is a position on the number line, does not
mean that there are “none”
 Example: 0˚ does not mean No Heat
0˚ is just a position on the Celsius scale
therefore it is not an inherent zero
Levels of Measurement
1. Nominal Level
 Qualitative Data only
 Data that is categorized using names,
labels, or qualities
 No mathematical computations can be
made at this level
 Example: The list of TV stations in
Pittsburgh
Levels of Measurement
2.
Ordinal Level
 Qualitative or Quantitative Data
 Data that can be arranged in Order or Rank

Differences between data entries are not
meaningful

The top 5 TV programs for a given week
Levels of Measurement
3.
Interval Level
 Quantitative Data only
 Data that can be ordered and you can
calculate a meaningful difference
between data entries
 A zero simply represents a position on a
scale – it is not an inherent zero
 Example: The years that the NY Yankees
won the World Series
Levels of Measurement
4. Ratio Level
 Quantitative Data only
 Data that can be ordered and you can
calculate a meaningful difference
between data entries
 A zero is an Inherent Zero – 0 in this
category means none
 “twice as much” has meaning in this category
 Ex: 2006 American League homerun totals
Level of
measurement
Nominal
Ordinal
Interval
Ratio
Put Data in
Categories
Arrange Data
in order
Subtract
Data Values
Determine if one
data value is a
multiple of
another
Nominal
-
Qualitative
-
Categories
only
Ordinal
-
Interval
Qualitative or
Quantitative
-
-
Can be
ranked
-
Quantitative
Ratio
-
Quantitative
-
Entries can
be expressed
as multiples
of another
Entries can be
subtracted to form
meaningful
differences
0 is a position on
a scale
-
Inherent Zero
(0 means None)
Determine if each is Nominal, Ordinal, Interval or Ratio
1. Body Temperature
2. Collection of Phone Numbers
3. Heart rate of an athlete
4.
The final letter grades (A,B,C,D,F) for students in a
Chemistry class
Homework
Worksheet 1.2