SlideShare ist ein Scribd-Unternehmen logo
1 von 20
Chapter 1:
Terminology, Methods, Math
Statistics



         Describe                         Infer



Graphs    Table     Number         Estimate       Test
Parameter = characteristic
                              of the population




Statistic = Measured
on the sample
 Trait or characteristic
  • Possibility of more than
    one value: it varies
  • Values = the possible
    outcomes of variable
  • Measured for each case
    (individual) in sample
 Usually many variables
  are measured
Major focus in Research Methods classes.
All research is only as good as its measurement
 Interested in abstract concepts = constructs
  • Love, happiness, success, effectiveness
  • Depression, risk, poverty, hatred, alienation
  • Birth rate, foreclosure rate
 Operational definition
  • What indicates the presence
    of love, risk, or success?
  • Exactly what procedures do
    we use to measure it?
COUNTABLE = discrete

            FLOWING = continuous
 Assign a number
  to location on the
  continuum.
 The number is not
  exact (e.g., 2.4)
 Refers to a range
  of values (here,
  2.35 to 2.45)
 Four levels
  •   Nominal
  •   Ordinal
  •   Interval
  •   Ratio
 The statistics we
  choose for each
  technique must be chosen according to the
  scale of measurement of the variable
 Need to recognize it instantly
All sciences depend on specific analytical methods.
Statistics is an integral part of many methods
Two variables are measured to determine the
strength and direction of their relationship.
 Measure outcomes
 Apply treatment to one
  group, not to another
 Statistics test whether
  the differences
  between
  groups could happen by
  random chance.
 Independent variable is
  manipulated by the experimenter

 Dependent variable is the
  outcome, also called the
  control condition

 Quasi-experiment = groups
  are not equivalent
See Appendix A for more extensive Math Review.
Also “Purple Math” under Stats Success
 Omnipresent

 Work the TUTORIALS in
  Aplia to gain efficiency

 How does summation fit
  into the Order of
  Operations?
 Parentheses
 Exponents
  (powers, roots)
 Multiplication or
  Division
 SUMMATION
 Addition or
  Subtraction
 Learn terms best
  by using them in
  meaningful work
 Practice how to
  apply definition,
  not just memorize
 Analyze research
  you learn in other
  courses
Look for as many hidden instances
of statistics as you can find before
the next class.

Weitere ähnliche Inhalte

Was ist angesagt?

Data Processing and Statistical Treatment: Spreads and Correlation
Data Processing and Statistical Treatment: Spreads and CorrelationData Processing and Statistical Treatment: Spreads and Correlation
Data Processing and Statistical Treatment: Spreads and CorrelationJanet Penilla
 
DATA PROCESSING AND STATISTICAL TREATMENT
DATA PROCESSING AND STATISTICAL TREATMENTDATA PROCESSING AND STATISTICAL TREATMENT
DATA PROCESSING AND STATISTICAL TREATMENTAdolf Odani
 
Statistics for Librarians, Session 3: Inferential statistics
Statistics for Librarians, Session 3: Inferential statisticsStatistics for Librarians, Session 3: Inferential statistics
Statistics for Librarians, Session 3: Inferential statisticsUniversity of North Texas
 
Types of scales
Types of scalesTypes of scales
Types of scalesnikki135
 
Data measurement techniques
Data measurement techniquesData measurement techniques
Data measurement techniquesJanki Pandya
 
Multivariate Analysis Techniques
Multivariate Analysis TechniquesMultivariate Analysis Techniques
Multivariate Analysis TechniquesMehul Gondaliya
 
Quantitative data analysis final
Quantitative data analysis final Quantitative data analysis final
Quantitative data analysis final atrantham
 
Factor analysis
Factor analysisFactor analysis
Factor analysisDhruv Goel
 
Types of measurement scales in research methodology
Types of measurement scales in research methodologyTypes of measurement scales in research methodology
Types of measurement scales in research methodologyManisha Mani
 
Levels of measurement
Levels of measurementLevels of measurement
Levels of measurementSarfraz Ahmad
 
Types of variables and descriptive statistics
Types of variables and descriptive statisticsTypes of variables and descriptive statistics
Types of variables and descriptive statisticsDhritiman Chakrabarti
 

Was ist angesagt? (20)

Inferential Statistics
Inferential StatisticsInferential Statistics
Inferential Statistics
 
Data Processing and Statistical Treatment: Spreads and Correlation
Data Processing and Statistical Treatment: Spreads and CorrelationData Processing and Statistical Treatment: Spreads and Correlation
Data Processing and Statistical Treatment: Spreads and Correlation
 
DATA PROCESSING AND STATISTICAL TREATMENT
DATA PROCESSING AND STATISTICAL TREATMENTDATA PROCESSING AND STATISTICAL TREATMENT
DATA PROCESSING AND STATISTICAL TREATMENT
 
Workshop QCI- regression_analysis
Workshop QCI- regression_analysis Workshop QCI- regression_analysis
Workshop QCI- regression_analysis
 
Statistics for Librarians, Session 3: Inferential statistics
Statistics for Librarians, Session 3: Inferential statisticsStatistics for Librarians, Session 3: Inferential statistics
Statistics for Librarians, Session 3: Inferential statistics
 
Types of scales
Types of scalesTypes of scales
Types of scales
 
Data measurement techniques
Data measurement techniquesData measurement techniques
Data measurement techniques
 
Multivariate Analysis Techniques
Multivariate Analysis TechniquesMultivariate Analysis Techniques
Multivariate Analysis Techniques
 
Hypothesis
HypothesisHypothesis
Hypothesis
 
Quantitative data analysis final
Quantitative data analysis final Quantitative data analysis final
Quantitative data analysis final
 
Inferential statistics
Inferential statisticsInferential statistics
Inferential statistics
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 
Interval data
Interval dataInterval data
Interval data
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 
Types of measurement scales in research methodology
Types of measurement scales in research methodologyTypes of measurement scales in research methodology
Types of measurement scales in research methodology
 
Levels of measurement
Levels of measurementLevels of measurement
Levels of measurement
 
Types of variables and descriptive statistics
Types of variables and descriptive statisticsTypes of variables and descriptive statistics
Types of variables and descriptive statistics
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 
QCI WORKSHOP- Factor analysis-
QCI WORKSHOP- Factor analysis-QCI WORKSHOP- Factor analysis-
QCI WORKSHOP- Factor analysis-
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 

Ähnlich wie Elementary Statistics

Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to StatisticsSr Edith Bogue
 
Sampling, measurement, and stats(2013)
Sampling, measurement, and stats(2013)Sampling, measurement, and stats(2013)
Sampling, measurement, and stats(2013)BarryCRNA
 
April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward
 
Sampling of Blood
Sampling of BloodSampling of Blood
Sampling of Blooddrantopa
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statisticsalbertlaporte
 
Sampling-A compact study of different types of sample
Sampling-A compact study of different types of sampleSampling-A compact study of different types of sample
Sampling-A compact study of different types of sampleAsith Paul.K
 
univariate and bivariate analysis in spss
univariate and bivariate analysis in spss univariate and bivariate analysis in spss
univariate and bivariate analysis in spss Subodh Khanal
 
Workshop on SPSS: Basic to Intermediate Level
Workshop on SPSS: Basic to Intermediate LevelWorkshop on SPSS: Basic to Intermediate Level
Workshop on SPSS: Basic to Intermediate LevelHiram Ting
 
Mba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixMba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixStephen Ong
 
Review of descriptive statistics
Review of descriptive statisticsReview of descriptive statistics
Review of descriptive statisticsAniceto Naval
 
Levels of Measurement
Levels of MeasurementLevels of Measurement
Levels of MeasurementSarfraz Ahmad
 

Ähnlich wie Elementary Statistics (20)

Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Sampling, measurement, and stats(2013)
Sampling, measurement, and stats(2013)Sampling, measurement, and stats(2013)
Sampling, measurement, and stats(2013)
 
Lecture 07
Lecture 07Lecture 07
Lecture 07
 
April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021April Heyward Research Methods Class Session - 8-5-2021
April Heyward Research Methods Class Session - 8-5-2021
 
Basic stat tools
Basic stat toolsBasic stat tools
Basic stat tools
 
Sampling of Blood
Sampling of BloodSampling of Blood
Sampling of Blood
 
1 introduction to psychological statistics
1 introduction to psychological statistics1 introduction to psychological statistics
1 introduction to psychological statistics
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statistics
 
Sampling-A compact study of different types of sample
Sampling-A compact study of different types of sampleSampling-A compact study of different types of sample
Sampling-A compact study of different types of sample
 
Chapter_1_Lecture.pptx
Chapter_1_Lecture.pptxChapter_1_Lecture.pptx
Chapter_1_Lecture.pptx
 
Measurementand scaling-10
Measurementand scaling-10Measurementand scaling-10
Measurementand scaling-10
 
univariate and bivariate analysis in spss
univariate and bivariate analysis in spss univariate and bivariate analysis in spss
univariate and bivariate analysis in spss
 
Population
PopulationPopulation
Population
 
Some Research Concepts
Some Research ConceptsSome Research Concepts
Some Research Concepts
 
Workshop on SPSS: Basic to Intermediate Level
Workshop on SPSS: Basic to Intermediate LevelWorkshop on SPSS: Basic to Intermediate Level
Workshop on SPSS: Basic to Intermediate Level
 
Mba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixMba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendix
 
Review of descriptive statistics
Review of descriptive statisticsReview of descriptive statistics
Review of descriptive statistics
 
Spring 2014 chapter 1
Spring 2014 chapter 1Spring 2014 chapter 1
Spring 2014 chapter 1
 
Levels of Measurement
Levels of MeasurementLevels of Measurement
Levels of Measurement
 
01 Introduction (1).pptx
01 Introduction (1).pptx01 Introduction (1).pptx
01 Introduction (1).pptx
 

Elementary Statistics

  • 2.
  • 3. Statistics Describe Infer Graphs Table Number Estimate Test
  • 4.
  • 5. Parameter = characteristic of the population Statistic = Measured on the sample
  • 6.  Trait or characteristic • Possibility of more than one value: it varies • Values = the possible outcomes of variable • Measured for each case (individual) in sample  Usually many variables are measured
  • 7. Major focus in Research Methods classes. All research is only as good as its measurement
  • 8.  Interested in abstract concepts = constructs • Love, happiness, success, effectiveness • Depression, risk, poverty, hatred, alienation • Birth rate, foreclosure rate  Operational definition • What indicates the presence of love, risk, or success? • Exactly what procedures do we use to measure it?
  • 9. COUNTABLE = discrete FLOWING = continuous
  • 10.  Assign a number to location on the continuum.  The number is not exact (e.g., 2.4)  Refers to a range of values (here, 2.35 to 2.45)
  • 11.  Four levels • Nominal • Ordinal • Interval • Ratio  The statistics we choose for each technique must be chosen according to the scale of measurement of the variable  Need to recognize it instantly
  • 12. All sciences depend on specific analytical methods. Statistics is an integral part of many methods
  • 13. Two variables are measured to determine the strength and direction of their relationship.
  • 14.  Measure outcomes  Apply treatment to one group, not to another  Statistics test whether the differences between groups could happen by random chance.
  • 15.  Independent variable is manipulated by the experimenter  Dependent variable is the outcome, also called the control condition  Quasi-experiment = groups are not equivalent
  • 16. See Appendix A for more extensive Math Review. Also “Purple Math” under Stats Success
  • 17.  Omnipresent  Work the TUTORIALS in Aplia to gain efficiency  How does summation fit into the Order of Operations?
  • 18.  Parentheses  Exponents (powers, roots)  Multiplication or Division  SUMMATION  Addition or Subtraction
  • 19.  Learn terms best by using them in meaningful work  Practice how to apply definition, not just memorize  Analyze research you learn in other courses
  • 20. Look for as many hidden instances of statistics as you can find before the next class.