SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
Génération de l'aperçu...
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.
Description
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............................................................
Résumé IA
- Nom du document
- SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
- Contenu
- Hướng dẫn sử dụng SPSS để phân tích dữ liệu
- Table des matières
- 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
- Pages
- 193 pages
- Téléversé par
- Uni24h
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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)
Génération de l'aperçu...
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............................................................
Lire le document entier
- Nom du document
- SPSS Tutorial A detailed Explanation (Hướng dẫn chi tiết SPSS trong xử lý dữ liệu và tạo biểu đồ thống kê) (Tiếng Anh)
- Contenu
- Hướng dẫn sử dụng SPSS để phân tích dữ liệu
- Table des matières
- 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
- Pages
- 193 pages
- Téléversé par
- Uni24h
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