SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
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Tài liệu hướng dẫn sử dụng phần mềm SPSS, bao gồm các bước nhập dữ liệu, xử lý dữ liệu và tạo biểu đồ thống kê.
- 문서명
- SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
- 내용
- Hướng dẫn sử dụng SPSS để phân tích dữ liệu
- 목차
- Table of Contents
- Getting Started with SPSS1
- ►Opening SPSS
- ►Using SPSS Files
- ►Entering Data into the Data View
- ►Working with data
- ►Computations with data
- ►Opening Saved Data Sheets
- ►Importing Data from Excel
- ►Importing Data from ASCII
- ►Using the Output Viewer
- Chapter 1. Data Collection20
- Section 1.1 Introduction to the Practice of Statistics
- Section 1.2 Observational Studies, Experiments, and Simple Random Sampling
- ►Obtaining a Simple Random Sample from a list
- ►Obtaining a Simple Random Sample without a list in SPSS
- Section 1.3 Other Effective Types of Sampling
- Chapter 2. Organizing and Summarizing Data.27
- Section 2.1 Organizing Qualitative Data
- ►Creating a Frequency Distribution
- ►Creating a Frequency and Relative Frequency Bar Graph
- ►Creating a Side-by-Side Frequency Bar Graph
- ►Creating a Pie Chart
- Section 2.2 Organizing Quantitative Data: The Popular Displays
- ►Creating a Histogram
- ►Creating a Stem-and-Leaf Plot
- ►Creating a Dot Plot
- ►Creating a Back-to-Back Histogram
- Section 2.3 Additional Displays of Quantitative Data
- ►Creating a Frequency Polygon
- ►Creating a Time Series Plot
- Chapter 3. Numerically Summarizing Data
- ►Finding the basics: mean, standard deviation, percentiles, etc
- ►Finding measures based on Grouped data
- ►Finding a z-score
- ►Creating a box-plot
- Chapter 4. Describing the Relation between Two Variables67
- Section 4.1 Scatter Diagrams and Correlation
- ►Creating a Scatter diagram
- ►Finding Correlation
- Section 4.2 Least Squares Regression
- ►Fitting a line in a Scatter diagram
- ►Finding the Least-Squares Regression Equation
- Section 4.3 Diagnostics on the Least-Squares Regression Line
- ►Coefficient of Determination
- ►Producing a Residual Plot
- Section 4.4 Nonlinear Regression: Transformations (on CD)
- ►Non-linear transformations
- Chapter 5. Probability .78
- Section 5.1 Probability Rules
- ►Simulating Probabilities
- Chapter 6. Discrete Probability Distributions.83
- Section 6.1 Expected Values
- Section 6.2 The Binomial Probability Distribution
- ►Binomial Distribution
- Section 6.3 The Poisson Probability Distribution
- ►Poisson Distribution
- Chapter 7. The Normal Probability Distribution90
- Section 7.1 Properties of the Normal Distribution
- ►Uniform Distribution
- ►Adding a Normal Curve to a Histogram
- Section 7.2 The Standard Normal Distribution
- ►Finding the Area under the Standard Normal Curve
- Section 7.3 Applications of the Normal Distribution
- ►Finding the Area under a Normal Curve
- ►Finding Values of Normal Random Variables
- Section 7.4 Assessing Normality
- ►Creating a Normal Probability or Q-Q Plot
- Section 7.5 The Normal Approximation to the Binomial Probability Distribution
- ►Normal Approximation to the Binomial
- Chapter 8. Sampling Distributions.102
- Section 8.1 Distribution of the Sample Mean
- ►Sampling Distribution Simulation - Mean
- ►Applying the Central Limit Theorem
- Section 8.2 Distribution of the Sample Proportion
- ►Sampling Distribution Simulation - Proportion
- Chapter 9. Estimating the Value of a Parameter
- Section 9.1 The Logic in Constructing Confidence Intervals about a Population Mean
- ►Constructing 20 95% Confidence Intervals Based on 20 Samples
- Section 9.2 Confidence Intervals about a Population in Practice
- ►Finding t-values
- ►Constructing Confidence Intervals when σ is unknown
- Section 9.3 Confidence Intervals about a Population Proportion
- ►Constructing Confidence Intervals about a Population Proportion
- Section 9.4 Confidence Intervals about a Population Standard Deviation
- ►Finding Critical values for the Chi-Square Distribution
- ►Constructing Confidence Intervals about a Population Standard Deviation
- Chapter 10. Testing Claims Regarding a Parameter119
- Section 10.2 A Model for Testing Claims about a Population Mean
- ►Testing a hypothesis about μ, σ known
- Section 10.3 Testing Claims about a Population Mean in Practice
- ►Testing a hypothesis about μ, σ unknown
- Section 10.4 Testing Claims about a Population Proportion
- ►Testing a Hypothesis about a Population Proportion
- Section 10.5 Testing a Claim about a Population Standard Deviation
- ►Testing a Hypothesis about σ
- Section 10.7 The Probability of a Type II Error and the Power of the Test
- ►The probability of a type II error of the test
- Chapter 11. Inferences on Two Samples
- Section 11.1 Inference about Two Means: Dependent Samples
- ►Inferences about Two Means: Dependent Samples
- Section 11.2 Inference about Two Means: Independent Samples
- ►Inferences about Two Means: Independent Samples
- Section 11.3 Inference about Two Population Proportions
- ►Inferences about Two Population Proportions
- Section 11.4 Inference about Two Population Standard Deviations
- ► Finding Critical Values for the F-Distribution
- ►Inferences about Two Population Standard Deviations
- Chapter 12. Inference on Categorical Data
- Section 12.1 Goodness of Fit Test
- ►Goodness-of-Fit
- Section 12.3 Tests for Independence and Homogeneity of Proportions
- ►Contingency Tables and Independence Tests
- Chapter 13. Comparing Three or More Means.153
- Section 13.1 Comparing Three or More Means (One-way Analysis of Variance)
- ►One-Way Analysis of Variance
- Section 13.2 Post-Hoc Tests on One-Way Analysis of Variance
- ►Performing Post-Hoc Tests
- Section 13.3 The Randomized Complete Block Design
- ►Performing an ANOVA for random block designs
- Section 13.4 Two-way Analysis of Variance
- ►Performing a two-way ANOVA
- Chapter 14. Inference on the Least-Squares Regression Model and Multiple Regression166
- Section 14.1 Testing the Significance of the Least-Squares Regression Model
- ►Testing the Least-Squares Regression Model
- Section 14.2 Confidence and Prediction Intervals
- ►Creating Confidence and Prediction Intervals
- Section 14.3 Multiple Linear Regression
- ►Obtaining the Correlation Matrix
- ►Obtaining the Multiple Regression Equation
- ►Obtaining the Residual Plots
- ►Creating Confidence and Prediction Intervals
- Chapter 15. Nonparametric Statistics
- Section 15.2 Runs Test for Randomness
- ►Runs Test for Randomness
- Section 15.3 Inferences about Measures of Central Tendency
- ►One-Sample Sign Test
- Section 15.4 Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples
- ►Wilcoxon Matched-Pairs Signed Rank Test
- Section 15.5 Inferences about the Difference between Two Measures of Central Tendency: Independent Samples
- ►Mann-Whitney Test
- Section 15.6 Spearman’s Rank-Correlation Test
- ►Spearman’s Rank-Correlation Test
- Section 15.7 Kruskal-Wallis Test of One-Way Analysis of Variance
- ►Kruskal-Wallis One-Way Analysis of Variance Test
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Trích nội dung tài liệu
i Table of Contents Getting Started with SPSS............................................................................................................................1 ►Opening SPSS........................................................................................................................................ 1 ►Using SPSS Files ................................................................................................................................... 3 ►Entering Data into the Data View.......................................................................................................... 5 ►Working with data ................................................................................................................................. 5 ►Computations with data ......................................................................................................................... 7 ►Opening Saved Data Sheets ................................................................................................................. 10 ►Importing Data from Excel .................................................................................................................. 12 ►Importing Data from ASCII................................................................................................................. 15 ►Using the Output Viewer ..................................................................................................................... 18 Chapter 1. Data Collection........................................................................................................................20 Section 1.1 Introduction to the Practice of Statistics ............................................................................... 20 Section 1.2 Observational Studies, Experiments, and Simple Random Sampling .................................. 20 ►Obtaining a Simple Random Sample from a list............................................................
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SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
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Trích nội dung tài liệu
i Table of Contents Getting Started with SPSS............................................................................................................................1 ►Opening SPSS........................................................................................................................................ 1 ►Using SPSS Files ................................................................................................................................... 3 ►Entering Data into the Data View.......................................................................................................... 5 ►Working with data ................................................................................................................................. 5 ►Computations with data ......................................................................................................................... 7 ►Opening Saved Data Sheets ................................................................................................................. 10 ►Importing Data from Excel .................................................................................................................. 12 ►Importing Data from ASCII................................................................................................................. 15 ►Using the Output Viewer ..................................................................................................................... 18 Chapter 1. Data Collection........................................................................................................................20 Section 1.1 Introduction to the Practice of Statistics ............................................................................... 20 Section 1.2 Observational Studies, Experiments, and Simple Random Sampling .................................. 20 ►Obtaining a Simple Random Sample from a list............................................................
- 문서명
- SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
- 내용
- Hướng dẫn sử dụng SPSS để phân tích dữ liệu
- 목차
- Table of Contents
- Getting Started with SPSS1
- ►Opening SPSS
- ►Using SPSS Files
- ►Entering Data into the Data View
- ►Working with data
- ►Computations with data
- ►Opening Saved Data Sheets
- ►Importing Data from Excel
- ►Importing Data from ASCII
- ►Using the Output Viewer
- Chapter 1. Data Collection20
- Section 1.1 Introduction to the Practice of Statistics
- Section 1.2 Observational Studies, Experiments, and Simple Random Sampling
- ►Obtaining a Simple Random Sample from a list
- ►Obtaining a Simple Random Sample without a list in SPSS
- Section 1.3 Other Effective Types of Sampling
- Chapter 2. Organizing and Summarizing Data.27
- Section 2.1 Organizing Qualitative Data
- ►Creating a Frequency Distribution
- ►Creating a Frequency and Relative Frequency Bar Graph
- ►Creating a Side-by-Side Frequency Bar Graph
- ►Creating a Pie Chart
- Section 2.2 Organizing Quantitative Data: The Popular Displays
- ►Creating a Histogram
- ►Creating a Stem-and-Leaf Plot
- ►Creating a Dot Plot
- ►Creating a Back-to-Back Histogram
- Section 2.3 Additional Displays of Quantitative Data
- ►Creating a Frequency Polygon
- ►Creating a Time Series Plot
- Chapter 3. Numerically Summarizing Data
- ►Finding the basics: mean, standard deviation, percentiles, etc
- ►Finding measures based on Grouped data
- ►Finding a z-score
- ►Creating a box-plot
- Chapter 4. Describing the Relation between Two Variables67
- Section 4.1 Scatter Diagrams and Correlation
- ►Creating a Scatter diagram
- ►Finding Correlation
- Section 4.2 Least Squares Regression
- ►Fitting a line in a Scatter diagram
- ►Finding the Least-Squares Regression Equation
- Section 4.3 Diagnostics on the Least-Squares Regression Line
- ►Coefficient of Determination
- ►Producing a Residual Plot
- Section 4.4 Nonlinear Regression: Transformations (on CD)
- ►Non-linear transformations
- Chapter 5. Probability .78
- Section 5.1 Probability Rules
- ►Simulating Probabilities
- Chapter 6. Discrete Probability Distributions.83
- Section 6.1 Expected Values
- Section 6.2 The Binomial Probability Distribution
- ►Binomial Distribution
- Section 6.3 The Poisson Probability Distribution
- ►Poisson Distribution
- Chapter 7. The Normal Probability Distribution90
- Section 7.1 Properties of the Normal Distribution
- ►Uniform Distribution
- ►Adding a Normal Curve to a Histogram
- Section 7.2 The Standard Normal Distribution
- ►Finding the Area under the Standard Normal Curve
- Section 7.3 Applications of the Normal Distribution
- ►Finding the Area under a Normal Curve
- ►Finding Values of Normal Random Variables
- Section 7.4 Assessing Normality
- ►Creating a Normal Probability or Q-Q Plot
- Section 7.5 The Normal Approximation to the Binomial Probability Distribution
- ►Normal Approximation to the Binomial
- Chapter 8. Sampling Distributions.102
- Section 8.1 Distribution of the Sample Mean
- ►Sampling Distribution Simulation - Mean
- ►Applying the Central Limit Theorem
- Section 8.2 Distribution of the Sample Proportion
- ►Sampling Distribution Simulation - Proportion
- Chapter 9. Estimating the Value of a Parameter
- Section 9.1 The Logic in Constructing Confidence Intervals about a Population Mean
- ►Constructing 20 95% Confidence Intervals Based on 20 Samples
- Section 9.2 Confidence Intervals about a Population in Practice
- ►Finding t-values
- ►Constructing Confidence Intervals when σ is unknown
- Section 9.3 Confidence Intervals about a Population Proportion
- ►Constructing Confidence Intervals about a Population Proportion
- Section 9.4 Confidence Intervals about a Population Standard Deviation
- ►Finding Critical values for the Chi-Square Distribution
- ►Constructing Confidence Intervals about a Population Standard Deviation
- Chapter 10. Testing Claims Regarding a Parameter119
- Section 10.2 A Model for Testing Claims about a Population Mean
- ►Testing a hypothesis about μ, σ known
- Section 10.3 Testing Claims about a Population Mean in Practice
- ►Testing a hypothesis about μ, σ unknown
- Section 10.4 Testing Claims about a Population Proportion
- ►Testing a Hypothesis about a Population Proportion
- Section 10.5 Testing a Claim about a Population Standard Deviation
- ►Testing a Hypothesis about σ
- Section 10.7 The Probability of a Type II Error and the Power of the Test
- ►The probability of a type II error of the test
- Chapter 11. Inferences on Two Samples
- Section 11.1 Inference about Two Means: Dependent Samples
- ►Inferences about Two Means: Dependent Samples
- Section 11.2 Inference about Two Means: Independent Samples
- ►Inferences about Two Means: Independent Samples
- Section 11.3 Inference about Two Population Proportions
- ►Inferences about Two Population Proportions
- Section 11.4 Inference about Two Population Standard Deviations
- ► Finding Critical Values for the F-Distribution
- ►Inferences about Two Population Standard Deviations
- Chapter 12. Inference on Categorical Data
- Section 12.1 Goodness of Fit Test
- ►Goodness-of-Fit
- Section 12.3 Tests for Independence and Homogeneity of Proportions
- ►Contingency Tables and Independence Tests
- Chapter 13. Comparing Three or More Means.153
- Section 13.1 Comparing Three or More Means (One-way Analysis of Variance)
- ►One-Way Analysis of Variance
- Section 13.2 Post-Hoc Tests on One-Way Analysis of Variance
- ►Performing Post-Hoc Tests
- Section 13.3 The Randomized Complete Block Design
- ►Performing an ANOVA for random block designs
- Section 13.4 Two-way Analysis of Variance
- ►Performing a two-way ANOVA
- Chapter 14. Inference on the Least-Squares Regression Model and Multiple Regression166
- Section 14.1 Testing the Significance of the Least-Squares Regression Model
- ►Testing the Least-Squares Regression Model
- Section 14.2 Confidence and Prediction Intervals
- ►Creating Confidence and Prediction Intervals
- Section 14.3 Multiple Linear Regression
- ►Obtaining the Correlation Matrix
- ►Obtaining the Multiple Regression Equation
- ►Obtaining the Residual Plots
- ►Creating Confidence and Prediction Intervals
- Chapter 15. Nonparametric Statistics
- Section 15.2 Runs Test for Randomness
- ►Runs Test for Randomness
- Section 15.3 Inferences about Measures of Central Tendency
- ►One-Sample Sign Test
- Section 15.4 Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples
- ►Wilcoxon Matched-Pairs Signed Rank Test
- Section 15.5 Inferences about the Difference between Two Measures of Central Tendency: Independent Samples
- ►Mann-Whitney Test
- Section 15.6 Spearman’s Rank-Correlation Test
- ►Spearman’s Rank-Correlation Test
- Section 15.7 Kruskal-Wallis Test of One-Way Analysis of Variance
- ►Kruskal-Wallis One-Way Analysis of Variance Test
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- 업로더
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