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Köp båda 2 för 1327 krUNIT I: DATA AND DISTRIBUTIONS
1. Introduction
1.1 Statistics and the Life Sciences
1.2 Types of Evidence
1.3 Random Sampling
2. Description of Samples and Populations
2.1 Introduction
2.2 Frequency Distributions
2.3 Descriptive Statistics: Measures of Center
2.4 Boxplots
2.5 Relationships Between Variables
2.6 Measures of Dispersion
2.7 Effect of Transformation of Variables
2.8 Statistical Inference
2.9 Perspective
3. Probability and the Binomial Distribution
3.1 Probability and the Life Sciences
3.2 Introduction to Probability
3.3 Probability Rules (Optional)
3.4 Density Curves
3.5 Random Variables
3.6 The Binomial Distribution
3.7 Fitting a Binomial Distribution to Data (Optional)
4. The Normal Distribution
4.1 Introduction
4.2 The Normal Curves
4.3 Areas under a Normal Curve
4.4 Assessing Normality
4.5 Perspective
5. Sampling Distributions
5.1 Basic Ideas
5.2 The Sample Mean
5.3 Illustration of the Central Limit Theorem
5.4 The Normal Approximation to the Binomial Distribution
5.5 Perspective
Unit I Highlights and Study
UNIT II: INFERENCE FOR MEANS
6. Confidence Intervals
6.1 Statistical Estimation
6.2 Standard Error of the Mean
6.3 Confidence Interval for
6.4 Planning a Study to Estimate
6.5 Conditions for Validity of Estimation Methods
6.6 Comparing Two Means
6.7 Confidence Interval for (1 - 2)
6.8 Perspective and Summary
7. Comparison of Two Independent Samples
7.1 Hypothesis Testing: The Randomization Test
7.2 Hypothesis Testing: The t Test
7.3 Further Discussion of the t Test
7.4 Association and Causation
7.5 One-Tailed t Tests
7.6 More on Interpretation of Statistical Significance
7.7 Planning for Adequate Power
7.8 Students t: Conditions and Summary
7.9 More on Principles of Testing Hypotheses
7.10 The Wilcoxon-Mann-Whitney Test
8. Comparison of Paired Samples
8.1 Introduction
8.2 The Paired-Sample t Test and Confidence Interval
8.3 The Paired Design
8.4 The Sign Test
8.5 The Wilcoxon Signed-Rank Test
8.6 Perspective
Unit II Highlights and Study
UNIT III: INFERENCE FOR CATEGORICAL DATA
9. Categorical Data: One-Sample Distributions
9.1 Dichotomous Observations
9.2 Confidence Interval for a Population Proportion
9.3 Other Confidence Levels (Optional)
9.4 Inference for Proportions: The Chi-Square Goodness-of-Fit Test
9...