Description
Solution Manual for Statistics for Understanding Statistical Analysis and Modeling Bruhl
Downloadable Instructor Solution Manual for Statistics for Understanding Statistical Analysis and Modeling By Robert Bruhl, ISBN: 9781506317410
Table Of Content
Purpose: Making Sense of What We Observe
Deciding How to Represent Properties of a Phenomenon
Describing Differences or Explaining Differences Between Phenomena?
Deciding How to Collect Observations
1.0 Learning Objectives
1.1 Motivation
1.2 Representation and Modeling
1.3 A Special Case: Investigating Subjective Behavior
1.4 Reasons for an Empirical Investigation
1.5 Summary
1.6 Exercises
1.7 Some Formal Terminology (Optional)
2.0 Learning Objectives
2.1 Motivation
2.2 Instrumentation: Choosing a Tool to Assess a Property of Interest
2.3 Limited Focus or Intent to Generalize
2.4 Controlled or Natural Observations
2.5 Applied Versus Pure Research
2.6 Summary
2.7 Exercises
Organizing and Describing a Set of Observations
Measuring the Variability in a Set of Observations
Describing a Set of Observations in Terms of Their Variability
3.0 Learning Objectives
3.1 Motivation: Comparing, Sorting, and Counting
3.2 Constructing a Sample Frequency Distribution for a “Qualitative” Property
3.3 Constructing a Sample Frequency Distribution for an “Ordinal” Property
3.4 Some Important Technical Notes
3.5 Summary
3.6 SPSS Tutorial
3.7 Exercises
4.0 Learning Objectives
4.1 Motivation
4.2 A Cautionary Note Regarding Quantitatively Assessed Properties
4.3 Constructing a Sample Frequency Distribution for a Quantitative Property
4.4 Identifying a Typical Phenomenon from a Set of Phenomena
4.5 Assessing and Using the Median of a Set of Observations
4.6 Assessing and Using the Mean of a Set of Observations
4.7 Interpreting and Comparing the Mode, the Median, and the Mean
4.8 Summary
4.9 SPSS Tutorial
4.10 Exercises
5.0 Learning Objectives
5.1 Motivation
5.2 A Case Example: The Frequency Distribution Report
5.3 The Range of a Set of Observations
5.4 The Mean Absolute Difference
5.5 The Variance and the Standard Deviation
5.6 Interpreting the Variance and the Standard Deviation
5.7 Comparing the Mean Absolute Difference and the Standard Deviation
5.8 A Useful Note on Calculating the Variance
5.9 A Note on Modeling and the Assumption of Variability
5.10 Summary
5.11 SPSS Tutorial
5.12 Exercises
5.13 The Method of Moments (Optional)
5.14 A Distribution of “Squared Differences from a Mean” (Optional)
6.0 Learning Objectives
6.1 Motivation
6.2 Executing the z-Transformation
6.3 An Example
6.4 Summary
6.5 An Exercise
Why Probability Theory?
The Concept of a Probability
Predicting Events Involving Two Coexisting Properties
Sampling and the Normal Probability Model
7.0 Learning Objectives
7.1 Motivation
7.2 Uncertainty, Chance, and Probabilit
7.3 Selection Outcomes and Probabilities
7.4 Events and Probabilities
7.5 Describing a Probability Model for a Quantitative Property
7.6 Summary
7.7 Exercises
8.0 Learning Objectives
8.1 Motivation
8.2 Probability Models Involving Coexisting Properties
8.3 Models of Association, Conditional Probabilities, and Stochastic Independence
8.4 Covariability in Two Quantitative Properties
8.5 Importance of Stochastic Independence and Covariance in Statistical Inference
8.6 Summary
8.7 Exercises
9.0 Learning Objectives
9.1 Motivation
9.2 Samples and Sampling
9.3 Bernoulli Trials and the Binomial Distribution
9.4 Representing the Character of a Population
9.5 Predicting Potential Samples from a Known Population
9.6 The Normal Distribution
9.7 The Central Limit Theorem
9.8 Normal Sampling Variability and Statistical Significance
9.9 Summary
9.10 Exercises
Estimation Studies
Association Studies
10.0 Learning Objectives
10.1 Motivation
10.2 Estimating the Occurrence of a Qualitative Property for a Population
10.3 Estimating the Occurrences of a Quantitative Property for a Population
10.4 Some Notes on Sampling
10.5 SPSS Tutorial
10.6 Summary
10.7 Exercises
11.0 Learning Objectives
11.1 Motivation
11.2 An Example
11.3 An Extension: Testing the Statistical Significance of Population Proportions
11.4 Summary
11.5 SPSS Tutorial
11.6 Exercises
12.0 Learning Objectives
12.1 Motivation
12.2 An Example
12.3 Comparing Sample Means Using the Central Limit Theorem (Optional)
12.4 Comparing Sample Means Using the t-Test
12.5 Summary
12.6 SPSS Tutorial
12.7 Exercises
13.0 Learning Objectives
13.1 Motivation
13.2 An Example
13.3 The F-Test
13.4 A Note on Sampling Distributions (Optional)
13.5 Summary
13.6 SPSS Tutorial
13.7 Exercises
14.0 Learning Objectives
14.1 Motivation
14.2 An Example
14.3 Visual Interpretation with a Scatter Plot (Optional)
14.4 Assessing an Association as a Covariance
14.5 Regression Analysis: Representing a Correlation as a Linear Mathematical Model
14.6 Assessing the Explanatory Value of the Model
14.7 Summary
14.8 SPSS Tutorial
14.9 Exercises
