Section 1.2 Data Classification.

Slides:



Advertisements
Similar presentations
QUALITATIVE or QUANTITATIVE?
Advertisements

Introduction to Statistics
Sections 1.3 Types of Data.
STATISTICS ELEMENTARY MARIO F. TRIOLA EIGHTH EDITION.
1.2: The Nature of Data Objective: To understand the different types of data CHS Statistics.
Homework Answers A sample is a subset of a population. 2.It is usually to impractical (too expensive and time- consuming) to obtain all the population.
AP Statistics Examination May 13, Noon The following major topics are covered: exploring data (describing patterns and departures from patterns);
Do Now and Example for Notebook
Nominal Level Measurement n numbers used as ways to identify or name categories n numbers do not indicate degrees of a variable but simple groupings of.
Chapter 1 Introduction to Statistics
Elementary Statistics Picturing the World
Unit 1 Section 1.2.
2.1 Data Types and Levels of Measurement
Warm-Up 1.2 A sample is a part of the population. True or False
STA 2023 Chapter 1 Notes. Terminology  Data: consists of information coming from observations, counts, measurements, or responses.  Statistics: the.
Chapter 1 Introduction to Statistics
Data Classification.  Qualitative Data: consists of attributes, labels, or nonnumerical entries.  Examples: red, Mr. Smith, Dogs  Quantitative Data:
Section 1.2 Data Classification.
1.2 Data Classification NOTES Coach Bridges. What you should learn: How to distinguish between qualitative data and quantitative data How to classify.
Data Classification Qualitative Data: attributes, labels, or non numerical entries. This is also called Categorical Data. Quantitative Data: numerical.
Statistics Introduction Part 2. Statistics Warm-up Classify the following as a) impossible, b) possible, but very unlikely, or c) possible and likely:
Section 1.2 Data Classifications HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems, Inc. All.
Types of Data Qualitative data: consist of attributes, labels, non-numerical values (examples: hair color, political party, zip code, favorite pizza) Quantitative.
Sections 1-3 Types of Data. PARAMETERS AND STATISTICS Parameter: a numerical measurement describing some characteristic of a population. Statistic: a.
1 Chapter 1. Section 1-1 and 1-2. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Introduction to Statistics 1.
+ StatisticsChapter 1 Sections 1-4 Mrs. Weir. + Ch 1: Introduction to Statistics What is Statistics? What words come to mind when you hear the word statistics?
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
MATH Elementary Statistics. Salary – Company A.
Vocabulary of Statistics Part Two. Variable classifications Qualitative variables: can be placed into distinct categories, according to some characteristic.
Unit 1 Section : Variables and Types of Data  Variables can be classified in two ways:  Qualitative Variable – variables that can be placed.
Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:
Elementary Statistics Picturing the World
+ Chapter 1. + Chapter 1 Section 1: Overview of Statistics.
Overview and Types of Data
INTRODUCTION TO STATISTICS LECTURE – 1 part 2 GE 608 Experimental Methods and Analysis Oct 18, 2015 Muharrum 13, 1437.
Statistics Section 1.2 Data Classification. Types of Data Qualitative Data Attributes Labels Non-numerical observations Examples: Sex, Social Security.
Introduction to Statistics Chapter 1. § 1.1 An Overview of Statistics.
Do Now Season Age Tm Lg GS FG FGA FG% PTS PPG Rank
Data Classification Lesson 1.2.
Warm-Up 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.
1.2 Data Classification Qualitative Data consist of attributes, labels, or non-numerical entries. – Examples are bigger, color, names, etc. Quantitative.
Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.
Section 1.2 Data Classification 1 Larson/Farber 4th ed.
Introduction to Statistics Chapter 1. § 1.2 Data Classification [optional]
Biostatistics Introduction Article for Review.
Section 1.2 Data Classification © 2012 Pearson Education, Inc. All rights reserved. 1 of 61.
Review Nielsen Ratings 400 houses were surveyed and 300 of these homes watched a specific program. (CSI) Nielson reported that 75% of American households.
Starter QUIZ Take scrap paper from little table Ask each student in this class if they are taking a foreign language class, record their answers and answer.
Starter QUIZ Take scrap paper from little table
Unit 1 Section 1.2.
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Elementary Statistics
Introduction to Statistics
Probability and Statistics
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Computing Reliability
Introduction to Statistics
Elementary Statistics: Picturing The World
11.5 Choosing a data display
Vocabulary of Statistics
Section 1.2 Data Classification.
Probability and Statistics
Most Popular Music Genre Animal Attack Rates Time Spent Studying
Introduction to Statistics
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Probability and Statistics
§ 1.2 Data Classification.
Chapter 1 Chapter 1 Introduction to Statistics Larson/Farber 6th ed.
Introduction to Statistics
Presentation transcript:

Section 1.2 Data Classification

Two Types of Data Qualitative Data: consists of attributes, labels, or non-numerical entries. Quantitative Data: Consists of numerical measurements or counts. EX: Is the data Qualitative of Quantitative? Carrying capacities of pick up trucks Student ID numbers Players numbers on a soccer team Lengths of songs on MP3 player

Four Levels of Measurement 1. Nominal Level: Qualitative data organized using names, labels, or qualities. No mathematical computations are made at this level. 2. Ordinal Level: Qualitative or Quantitative data arranged in order (ranked), but differences between the categories are not meaningful.

3. Interval Level: Quantitative data that is ordered 3. Interval Level: Quantitative data that is ordered. Meaningful differences between data entries can be calculated. A zero entry represents a position on a scale, and not an inherent zero. 4. Ratio Level: Quantitative data, similar to interval level, but a zero entry means an inherent zero. In other words, zero means NONE.

EX: Determine the type of data & the level of measurement. 19. The top 5 teams in the final football college poll released in Jan 2010 are: 1. Alabama 2. Texas 3. Florida 4. Boise St 5. Ohio St 24. The average ticket prices for 10 Broadway shows in 2009 are: $149 $128 $124 $91 $96 $106 $112 $95 $86 $74