SlideShare ist ein Scribd-Unternehmen logo
1 von 14
Statistical Data
Analysis Using
  SPSS Base
 The main focus of this course is statistical analysis,
  which involves both descriptive statistics and
  inferential statistics.
 The major concern of descriptive statistics is to
  present information in a convenient, usable, and
  understandable form.
 Descriptive statistics is used to describe a set of
  data in terms of its frequency of occurrence, its
  central tendency, and its dispersion.
 Inferential statistics, on the other hand, is not
  concerned with just describing the obtained
  data.
 It addresses the problem of making broader
  generalizations or inferences from sample data
  to population.
 This is the more complicated part of statistical
  analysis.
 A basic aim of inferential statistics is to use the
  sample scores for hypothesis testing.
 Hypothesis Testing
 Research Hypothesis vs. Null
  Hypothesis
 Level of Significance
 Type I and Type II Errors
 When a researcher is ready to test a
  specific hypothesis generated from
  a theory or to answer a research
  question posed, he or she is faced
  with the task of choosing an
  appropriate statistical procedure.
 First, for any hypothesis posited, the statistical
  procedure chosen must offer a legitimate test of
  the hypothesis; otherwise, no meaningful
  interpretation of the results can be made.
 Second, choosing an inappropriate statistical
  procedure can also mean choosing a less-than-
  robust test that fails to detect significant
  differences between group scores or significant
  relationships between pairs of variables.
1. The nature of the hypothesis
2.The levels of measurement of
   the variables to be tested
• Test of Difference
• Test of Relationship
The levels at which the variables
are measured determine the statistical
 test that is used to analyze the data.
 It stands for Statistical Product and Service Solutions.
 It originally stands for Statistical Package for the
  Social Sciences.
 Now renamed as PASW (Predictive Analytics
  Software)
 It is a comprehensive system for analyzing data.
 It can take data from almost any type of file and use
  them to generate tabulated reports, charts and plots of
  distributions and trends, descriptive statistics, and
  complex statistical analyses.
 SPSS Base
 SPSS Advanced Model

Weitere ähnliche Inhalte

Was ist angesagt?

Inferential statistics.ppt
Inferential statistics.pptInferential statistics.ppt
Inferential statistics.ppt
Nursing Path
 
Formulating hypotheses
Formulating hypothesesFormulating hypotheses
Formulating hypotheses
Aniket Verma
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
saba khan
 

Was ist angesagt? (20)

Non parametric tests
Non parametric testsNon parametric tests
Non parametric tests
 
Spss an introduction
Spss  an introductionSpss  an introduction
Spss an introduction
 
Data analysis using spss
Data analysis using spssData analysis using spss
Data analysis using spss
 
Parametric vs Non-Parametric
Parametric vs Non-ParametricParametric vs Non-Parametric
Parametric vs Non-Parametric
 
non parametric statistics
non parametric statisticsnon parametric statistics
non parametric statistics
 
Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)Statistical Package for Social Science (SPSS)
Statistical Package for Social Science (SPSS)
 
Inferential statistics.ppt
Inferential statistics.pptInferential statistics.ppt
Inferential statistics.ppt
 
Inferential Statistics
Inferential StatisticsInferential Statistics
Inferential Statistics
 
Research design
Research designResearch design
Research design
 
Parametric Test
Parametric TestParametric Test
Parametric Test
 
Non-Parametric Tests
Non-Parametric TestsNon-Parametric Tests
Non-Parametric Tests
 
DIstinguish between Parametric vs nonparametric test
 DIstinguish between Parametric vs nonparametric test DIstinguish between Parametric vs nonparametric test
DIstinguish between Parametric vs nonparametric test
 
Presentation on spss
Presentation on spssPresentation on spss
Presentation on spss
 
Non parametric test
Non parametric testNon parametric test
Non parametric test
 
Formulating hypotheses
Formulating hypothesesFormulating hypotheses
Formulating hypotheses
 
Software packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSSSoftware packages for statistical analysis - SPSS
Software packages for statistical analysis - SPSS
 
multiple regression
multiple regressionmultiple regression
multiple regression
 
Inferential Statistics
Inferential StatisticsInferential Statistics
Inferential Statistics
 
Spss
SpssSpss
Spss
 
Factor analysis
Factor analysisFactor analysis
Factor analysis
 

Andere mochten auch

Spss lecture notes
Spss lecture notesSpss lecture notes
Spss lecture notes
David mbwiga
 
Quantitative analysis using SPSS
Quantitative analysis using SPSSQuantitative analysis using SPSS
Quantitative analysis using SPSS
Alaa Sadik
 
Data Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVAData Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVA
Dr Ali Yusob Md Zain
 
Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSS
Phi Jack
 
Research Methodology (MBA II SEM) - Introduction to SPSS
Research Methodology (MBA II SEM) - Introduction to SPSSResearch Methodology (MBA II SEM) - Introduction to SPSS
Research Methodology (MBA II SEM) - Introduction to SPSS
GB Technical University
 
1 statistical analysis
1  statistical analysis1  statistical analysis
1 statistical analysis
Dmitry Grapov
 
Introduction to Statistics - Part 2
Introduction to Statistics - Part 2Introduction to Statistics - Part 2
Introduction to Statistics - Part 2
Damian T. Gordon
 
Data analysis powerpoint
Data analysis powerpointData analysis powerpoint
Data analysis powerpoint
jamiebrandon
 

Andere mochten auch (20)

Spss lecture notes
Spss lecture notesSpss lecture notes
Spss lecture notes
 
Quantitative analysis using SPSS
Quantitative analysis using SPSSQuantitative analysis using SPSS
Quantitative analysis using SPSS
 
Basic guide to SPSS
Basic guide to SPSSBasic guide to SPSS
Basic guide to SPSS
 
Data Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVAData Analysis with SPSS : One-way ANOVA
Data Analysis with SPSS : One-way ANOVA
 
Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSS
 
Statistical Analysis
Statistical AnalysisStatistical Analysis
Statistical Analysis
 
Research Methodology (MBA II SEM) - Introduction to SPSS
Research Methodology (MBA II SEM) - Introduction to SPSSResearch Methodology (MBA II SEM) - Introduction to SPSS
Research Methodology (MBA II SEM) - Introduction to SPSS
 
Quantitative Data Analysis
Quantitative Data AnalysisQuantitative Data Analysis
Quantitative Data Analysis
 
Chapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATIONChapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATION
 
1 statistical analysis
1  statistical analysis1  statistical analysis
1 statistical analysis
 
Data Analysis Using Spss T Test
Data Analysis Using Spss   T TestData Analysis Using Spss   T Test
Data Analysis Using Spss T Test
 
SPSS statistics - how to use SPSS
SPSS statistics - how to use SPSSSPSS statistics - how to use SPSS
SPSS statistics - how to use SPSS
 
Introduction to Statistics - Part 2
Introduction to Statistics - Part 2Introduction to Statistics - Part 2
Introduction to Statistics - Part 2
 
Analysis of variance (ANOVA)
Analysis of variance (ANOVA)Analysis of variance (ANOVA)
Analysis of variance (ANOVA)
 
Statistical ppt
Statistical pptStatistical ppt
Statistical ppt
 
Data analysis powerpoint
Data analysis powerpointData analysis powerpoint
Data analysis powerpoint
 
Qualitative data analysis
Qualitative data analysisQualitative data analysis
Qualitative data analysis
 
Spss course poster
Spss course posterSpss course poster
Spss course poster
 
Spss course session-II
Spss course session-IISpss course session-II
Spss course session-II
 
SPSS Course Contents
SPSS Course ContentsSPSS Course Contents
SPSS Course Contents
 

Ähnlich wie Statistical analysis using spss

Statistics pres 3.31.2014
Statistics pres 3.31.2014Statistics pres 3.31.2014
Statistics pres 3.31.2014
tjcarter
 
Multivariate Approaches in Nursing Research Assignment.pdf
Multivariate Approaches in Nursing Research Assignment.pdfMultivariate Approaches in Nursing Research Assignment.pdf
Multivariate Approaches in Nursing Research Assignment.pdf
bkbk37
 
Computing Descriptive Statistics © 2014 Argos.docx
 Computing Descriptive Statistics     © 2014 Argos.docx Computing Descriptive Statistics     © 2014 Argos.docx
Computing Descriptive Statistics © 2014 Argos.docx
aryan532920
 

Ähnlich wie Statistical analysis using spss (20)

Lessons learnt in statistics essay
Lessons learnt in statistics essayLessons learnt in statistics essay
Lessons learnt in statistics essay
 
statistical analysis.pptx
statistical analysis.pptxstatistical analysis.pptx
statistical analysis.pptx
 
Research EDU821-1.pptx
Research EDU821-1.pptxResearch EDU821-1.pptx
Research EDU821-1.pptx
 
Research and Statistics Report- Estonio, Ryan.pptx
Research  and Statistics Report- Estonio, Ryan.pptxResearch  and Statistics Report- Estonio, Ryan.pptx
Research and Statistics Report- Estonio, Ryan.pptx
 
Statistical Analysis in Social Science Researches.pptx
Statistical Analysis in Social Science Researches.pptxStatistical Analysis in Social Science Researches.pptx
Statistical Analysis in Social Science Researches.pptx
 
Datascience
DatascienceDatascience
Datascience
 
datascience.docx
datascience.docxdatascience.docx
datascience.docx
 
Basics of Educational Statistics (Inferential statistics)
Basics of Educational Statistics (Inferential statistics)Basics of Educational Statistics (Inferential statistics)
Basics of Educational Statistics (Inferential statistics)
 
abdi research ppt.pptx
abdi research ppt.pptxabdi research ppt.pptx
abdi research ppt.pptx
 
statistics PGDM.pptx
statistics PGDM.pptxstatistics PGDM.pptx
statistics PGDM.pptx
 
Statistical analysis and interpretation
Statistical analysis and interpretationStatistical analysis and interpretation
Statistical analysis and interpretation
 
A step-by-step guide for conducting statistical data analysis
A step-by-step guide for conducting statistical data analysisA step-by-step guide for conducting statistical data analysis
A step-by-step guide for conducting statistical data analysis
 
Statistics pres 3.31.2014
Statistics pres 3.31.2014Statistics pres 3.31.2014
Statistics pres 3.31.2014
 
PUB- Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliab...
PUB- Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliab...PUB- Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliab...
PUB- Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliab...
 
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
 
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
Advanced Statistical Methods in Meta-analysis Enhancing Accuracy, Reliability...
 
Biostatistics clinical research & trials
Biostatistics clinical research & trialsBiostatistics clinical research & trials
Biostatistics clinical research & trials
 
Statistical analysis of clinical data
Statistical analysis of clinical dataStatistical analysis of clinical data
Statistical analysis of clinical data
 
Multivariate Approaches in Nursing Research Assignment.pdf
Multivariate Approaches in Nursing Research Assignment.pdfMultivariate Approaches in Nursing Research Assignment.pdf
Multivariate Approaches in Nursing Research Assignment.pdf
 
Computing Descriptive Statistics © 2014 Argos.docx
 Computing Descriptive Statistics     © 2014 Argos.docx Computing Descriptive Statistics     © 2014 Argos.docx
Computing Descriptive Statistics © 2014 Argos.docx
 

Statistical analysis using spss

  • 2.  The main focus of this course is statistical analysis, which involves both descriptive statistics and inferential statistics.  The major concern of descriptive statistics is to present information in a convenient, usable, and understandable form.  Descriptive statistics is used to describe a set of data in terms of its frequency of occurrence, its central tendency, and its dispersion.
  • 3.  Inferential statistics, on the other hand, is not concerned with just describing the obtained data.  It addresses the problem of making broader generalizations or inferences from sample data to population.  This is the more complicated part of statistical analysis.  A basic aim of inferential statistics is to use the sample scores for hypothesis testing.
  • 4.  Hypothesis Testing  Research Hypothesis vs. Null Hypothesis  Level of Significance  Type I and Type II Errors
  • 5.  When a researcher is ready to test a specific hypothesis generated from a theory or to answer a research question posed, he or she is faced with the task of choosing an appropriate statistical procedure.
  • 6.  First, for any hypothesis posited, the statistical procedure chosen must offer a legitimate test of the hypothesis; otherwise, no meaningful interpretation of the results can be made.  Second, choosing an inappropriate statistical procedure can also mean choosing a less-than- robust test that fails to detect significant differences between group scores or significant relationships between pairs of variables.
  • 7. 1. The nature of the hypothesis 2.The levels of measurement of the variables to be tested
  • 8. • Test of Difference • Test of Relationship
  • 9. The levels at which the variables are measured determine the statistical test that is used to analyze the data.
  • 10.
  • 11.
  • 12.
  • 13.  It stands for Statistical Product and Service Solutions.  It originally stands for Statistical Package for the Social Sciences.  Now renamed as PASW (Predictive Analytics Software)  It is a comprehensive system for analyzing data.  It can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics, and complex statistical analyses.
  • 14.  SPSS Base  SPSS Advanced Model