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SPSS and Simple Statistics for Business

SPSS and Simple Statistics for Business. AFCA Workshops and Tutorials Series. Introduction to Statistics (1 of 6). What is Statistics? A Branch of Mathematics Statistic vs. Statistics Data Collection and Organization Surveys/questionnaires Other sources of data Representation of data

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SPSS and Simple Statistics for Business

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  1. SPSS and Simple Statistics for Business AFCA Workshops and Tutorials Series Dr. Cliff Kettemborough, Adjunct Lead Faculty

  2. Introduction to Statistics (1 of 6) What is Statistics? A Branch of Mathematics Statistic vs. Statistics Data Collection and Organization Surveys/questionnaires Other sources of data Representation of data Tabular format Variables dependent vs. independent type of values Dr. Cliff Kettemborough, Adjunct Lead Faculty

  3. Introduction to Statistics (2 of 6) Type of Statistics Descriptive vs. Inferential Examples Working with tabular data Sorting Arranging based on desired properties Representing Data Charts: Pie, Histograms, Paretto, Gantt Running Charts, Stem-and-Leaf Other formats Dr. Cliff Kettemborough, Adjunct Lead Faculty

  4. Introduction to Statistics (3 of 6) Probabilities Counting Principles Permutations, Arrangements, Combinations Expectations Finite and Continuous Probability Events; Independence Conditional Probability Bayes Formula Binomial Distribution Random Variables Dr. Cliff Kettemborough, Adjunct Lead Faculty

  5. Summarization of Data Sample vs. Population Range, Frequency, and Distribution Mean, Mode, Median, as measures of Central Tendency Variations, Deviation, Standard Deviation Sampling Methods and Sampling Distributions Normal Distribution; Properties z-values t-Student values (small samples) Introduction to Statistics (4 of 6) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  6. Hypothesis Testing: Null and Alternative Types of Errors One- and Two-Tale Test Proportions Sample Size Tow populations F-values Chi-Square Distribution Correlation: Least Square, Linear, Multi-Linear, Non-Linear Introduction to Statistics (5 of 6) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  7. Regression Non-normal distributions Non-parametric Methods: Analysis of Ranked Data Index Numbers Time Series Analysis Decision Making under Uncertainty Forecasting Statistical Process Control Using run-charts Upper and lower limits Introduction to Statistics (6 of 6) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  8. Student vs. Professional version MS Windows Application “Look and Feel” Common Windows Operations File menu: Data vs. Output Window Edit menu Views... Main Functions Working with Data Window Variables and Cases Data Editor vs. Output Window SPSS - The Basics (1 of 3) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  9. Computing Simple Statistics Summarizing Computing Central Tendency values Drawing Simple Graphs Editing a Graph Changing the Defaults Menus and Dialog Boxes How they work? Changing the Defaults Cases: Sorting and Splitting SPSS - The Basics (2 of 3) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  10. SPSS - The Basics (3 of 3) Transforming Data Values Pivoting Tables Creating and Displaying Layers Editing Pivot Tables Hiding Rows and Columns Changing Data Display Formats Customizing Tables Organizing Output Windows Dr. Cliff Kettemborough, Adjunct Lead Faculty

  11. File Menu Import and Export formats Spreadsheet files Database files ASCII files: delimited vs. fixed columns Edit menu: Options… Data Window Transpose More on Variables Numeric vs. Non-numeric Data Using Labels SPSS - Advanced Functions (1 of 2) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  12. Computing Advanced Statistics t-test ANOVA Linear models Correlation Regression Classification Non-parametric tests Time Series SPSS - Advanced Functions (2 of 2) Dr. Cliff Kettemborough, Adjunct Lead Faculty

  13. Getting and Using Help Tutorials SPSS - Wrap-Up (1 of 1) Dr. Cliff Kettemborough, Adjunct Lead Faculty

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