Foundations of Applied Statistical Methods
This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns...
| Κύριος συγγραφέας: | |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Warming Up-Descriptive Statistics and Essential Probability Models
- Statistical Inference Focusing on a Single Mean or Proportion
- Inference Using t-tests for Comparing Two Means
- Inference Using Analysis of Variance for Comparing Multiple Means
- Inference Using Correlation and Regression
- Normal Distribution Assumption Free Non-Parametric Inference
- Methods for Censored Survival Time Data Analysis and Inference
- Sample Size Determination for Inference
- Review Exercise Problems
- Probability of Standard Normal Distribution
- Percentiles of t-Distributions
- Upper 95th and 99th Percentiles of Chi-square Distributions
- Upper 95th Percentiles of F-Distributions
- Upper 99th Percentiles of F-Distributions
- Sample Sizes for Independent Samples t-tests (normal approximation).- Index. .
