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IBM SPSS Statistics is most widely used statistical analysis software in social sciences and business research. From simple statistical analyses like descriptive statistics, graphs, cross tabulation, correlation, regression analysis to hypothesis testing techniques like t-test, chi-square, ANOVA, and multivariate analysis like factor analysis, cluster analysis, conjoint analysis, Multiple ANOVA, Multiple Regression, Hierarchical Linear Models can be calculated with few clicks. At the same time tests of normality like K-S test, Shapiro-Wilk test, Levene’s Test of Homogeneity of Variances, Fishers Least Significant Difference (LSD) test, Cronbach’s scale reliability and many other complex statistical techniques can be calculated with ease.
In this course we cover, univariate, Bivariate statistical techniques and hypothesis testing tools like Chi-Square, one sample t-test, paired t-test, independent t-test, and ANOVA. The course also covers normality tests, test of homogeneity, and multiple comparison tests. All the data files used in this course are real time business data. This course has 18 chapters in all and covers intermediate statistics.
After attending this course you would be able to create SPSS file, define variables, enter data, run descriptive statistics, create graphs, find out relationship between variables, test the linearity and normality of the data, run hypothesis testing and interpret the results. With this knowledge you can run data analysis in short time.
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|Section 1: Introduction to Statistical Data Analysis with IBM SPSS|
Introduction to Learn Statistical Data Analysis with IBM SPSSPreview
Introduction to Statistical Data Analysis with IBM SPSSPreview
|Section 2: Create IBM SPSS Files, Enter Data,Import Data, and Edit|
Introduction to IBM SPSS windows
An overview of SPSS Data Editors
Define variables and enter data in IBM SPSS Data Editor Window
Insert Delete variables and cases in SPSS Data Editor
How to Import data from external database files to SPSS
|Section 3: IBM SPSS Descriptive Statistics and Normality Tests|
How to compute Frequency tables, draw Histogram and edit output in SPSS
How to calculate Descriptive Statistics on multiple variables in SPSS
How to calculate Crosstabs and edit pivot table properties in IBM SPSSPreview
How to test the Normality of Data using K-S test and Shapiro Wilk Test
How to Export SPSS data analysis output and edit it in MS-Word
Sort, Split and Group File in SPSS to get group / category wise analysis
|Section 4: Bivariate Data Analysis - Linear Relationships|
Calculating bivariate scatter plot and Correlation using IBM SPSS
How to run Simple Linear Regression analysis and interpret the results in SPSS
|Section 5: Hypothesis Testing with IBM SPSS|
Hypothesis testing using One sample t-test in SPSSPreview
Hypothesis testing with Paired Samples t-test in SPSS
How to run The independent samples t test and interpret the results
Hypothesis tesing with One Way Analysis of Variance (ANOVA)
|Section 6: Non-Parametric Hypothesis Testing with IBM SPSS|
Chi-square test of Independence
I am teaching Quants for Decision Making for over 15 years. As the speed and accuracy plays pivotal role in data analysis and decision making, most of my teaching relies on Statistical Softwares (Excel, Data Analysis Toolpak, SPSS, E-Views, StatPro, etc.). I fuse concepts with computers with ease. After attending my classes students are able to analyze the data in short time, and spend lot of time on interpreting the results and drawing inferences to make promising decision.