This textbook book elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension.
This textbook book elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Lokesh Jasrai is currently working as a Professor with Mittal School of Business, Lovely Professional University, Punjab, India. A postgraduate (MBA-Agri-Business) from the Institute of Agri-Business Management, Bikaner (Rajasthan), and PhD in Rural Marketing, Dr Jasrai has been actively involved in imparting quality education in the field of Business Administration. He has 15 years of full-time teaching and research experience in the field of Management (Marketing). As a keen researcher, he has presented several research papers at national and international conferences and published various articles in Refereed and Scopus/ABDC listed Journals. His areas of expertise are data analysis with SPSS, Business Research Methods and Business Analytics with R. He also has a life membership of the Punjab Commerce & Management Association.
Inhaltsangabe
PART I BASICS OF SPSS WINDOWS 1. Orientation to SPSS Windows 2. Creating and Editing Data PART II DATA VISUALIZATION AND DESCRIPTIVE STATISTICS 3. Displaying Data with Charts and Graphs 4. Frequency Analysis and Descriptive Statistics 5. Exploratory Data Analysis PART III CROSS TABULATION AND MEANS ANALYSIS 6. Data Analysis with Cross Tabulation 7. Means Analysis PART IV UNIVARIATE STATSITICAL INFERENCES 8. Independent Sample t Test 9. Paired Sample t test 10. One Sample t test PART V EXPERIMENTAL DESIGNS: ANALYSIS OF THE VARIANCE 11. One Way Analysis of Variance (ANOVA) 12. Two Way ANOVA Factorial Design 13. One Way ANOVA Repeated Measures PART VI RELATIONSHIP MEASUREMENT AND PREDICTIVE ANALYSIS 14. Measures of Association 15. Simple Linear Regression Analysis 16. Multiple Linear Regression Analysis 17. Binary Logistics Regression PART VII NON PARAMETRIC TESTS 18. Non Parametric Tests PART VIII RELIABILITY AND PROBAIBILITY DISTRIBUTION 19. Reliability Analysis 20. Probability and Sampling Distribution
PART I BASICS OF SPSS WINDOWS 1. Orientation to SPSS Windows 2. Creating and Editing Data PART II DATA VISUALIZATION AND DESCRIPTIVE STATISTICS 3. Displaying Data with Charts and Graphs 4. Frequency Analysis and Descriptive Statistics 5. Exploratory Data Analysis PART III CROSS TABULATION AND MEANS ANALYSIS 6. Data Analysis with Cross Tabulation 7. Means Analysis PART IV UNIVARIATE STATSITICAL INFERENCES 8. Independent Sample t Test 9. Paired Sample t test 10. One Sample t test PART V EXPERIMENTAL DESIGNS: ANALYSIS OF THE VARIANCE 11. One Way Analysis of Variance (ANOVA) 12. Two Way ANOVA Factorial Design 13. One Way ANOVA Repeated Measures PART VI RELATIONSHIP MEASUREMENT AND PREDICTIVE ANALYSIS 14. Measures of Association 15. Simple Linear Regression Analysis 16. Multiple Linear Regression Analysis 17. Binary Logistics Regression PART VII NON PARAMETRIC TESTS 18. Non Parametric Tests PART VIII RELIABILITY AND PROBAIBILITY DISTRIBUTION 19. Reliability Analysis 20. Probability and Sampling Distribution
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