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PRINCIPLES OF SCIENCE: PRINCIPLES OF PROBABILTY & STATS

Mathematics

Mathematics & Science

Probability & Statistics

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B2B GT

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B2B & B2C

<P>This volume presents the basic principles and applications of probability and statistics, as well as methods of data collection, proper interpretation of data, and many other topics, allowing readers to acquire a sound knowledge base for their understanding of probability and statistics in the real world.</P>

Principles of Probability & Statistics

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Publisher&#x2019;s Note.
Introduction.
Contributors.
1: Mathematical Foundations of Probability and Statistics.
2: Bayes&#x2019; Theorem.
3: Binomial Theorem.
4: Bivariate Data.
5: Central Limit Theorem.
6: Chebyshev&#x2019;s Inequality.
7: Combinations.
8: Combinatorics.
9: Confidence Intervals.
10: Continuous Random Variable.
11: Correlation Modeling.
12: Correlational Research.
13: Correlations and Causations.
14: Density.
15: Descriptive Statistics.
16: Discrete Mathematics.
17: Distributions.
18: Empirical Formula.
19: Expected Values.
20: Exponentials and Logarithms.
21: Function Rate of Change.
22: Functions.
23: Graphs.
24: Histograms.
25: Infinity (Mathematics).
26: Law of Large Numbers.
27: Limits and Continuity.
28: Linear and Nonlinear Relationships.
29: Linear Concepts.
30: Mathematical Modeling.
31: Matrices.
32: Normal and Binomial Distributions.
33: Normal Distribution.
34: Numbers and Operations.
35: One-Tailed and Two-Tailed t-Tests.
36: Permutations and Combinations.
37: The Poisson Distribution.
38: Polynomials.
39: Probability.
40: Probability and Statistics.
41: Proofs.
42: Randomization.
43: Randomness.
44: Regression Modeling and Analysis.
45: Regression Point Displacement.
46: Scatterplots.
47: Significance Levels.
48: Standard Deviation.
49: Statistics Education.
50: Transformations.
51: Zero.
52: Research Applications of Probability and Statistics.
53: Abductive Reasoning.
54: ANCOVA.
55: ANOVA.
56: BACI.
57: Case Study Research.
58: Causal Networks.
59: Chi-Square Goodness-of-Fit Test.
60: Chi-Square Test of Independence.
61: Chi-Squared Distribution.
62: Cluster Sampling.
63: Comparative Research.
64: Completely Randomized Designs.
65: Cross-Sectional Sampling.
66: Crossover Repeated Measures Design.
67: Data Collection.
68: Deductive Reasoning.
69: Descriptive Research.
70: Experimental Research.
71: Explanatory Research.
72: Exploratory Research.
73: External Validity.
74: Field Experiment.
75: Fractional Factorial Designs.
76: Full Factorial Design.
77: Holistic Study, Ethnography.
78: Hypothesis.
79: Hypothesis-Based Study.
80: Hypothesis Testing.
81: Independent Variable Manipulation.
82: Inductive Reasoning.
83: Inferential Statistics.
84: Interdisciplinary Mathematics Research.
85: Internal Validity (Causality).
86: Interpretive Methods.
87: Kruskal-Wallis Test.
88: Laboratory Experiment.
89: Latin Square Designs.
90: Longitudinal Sampling.
91: Mann-Whitney U Test.
92: Mill&#x2019;s Methods of Causal Reasoning.
93: Multiple Case Study.
94: Multistage Sampling.
95: Nested Analysis of Variance.
96: Nested Designs.
97: Nonequivalent Dependent Variables Design.
98: Nonprobabilistic Sampling.
99: Nonresponse Error.
100: Objectivity.
101: Placebo Effect.
102: Plackett-Burman Design.
103: Positivist Methods.
104: Posttest-Only Design.
105: Pretest-Posttest Experimental Research Design.
106: Probabilistic Sampling.
107: Prospective Cohort Design.
108: Quadrat Sampling.
109: Qualitative Research.
110: Quantitative Research.
111: Random Sampling Error.
112: Randomized Complete Block Designs.
113: Regression Discontinuity Design.
114: Replication, Manipulation, and Randomization.
115: Retrospective Cohort Design.
116: Sample Frame Error.
117: Sample Surveys.
118: Sampling Design vs. Experimental Design.
119: Sampling Design: Randomness and Interspersion.
120: Sampling Framework.
121: Sampling vs. Census.
122: Solomon Four-Group Design.
123: Split-Plot Type Designs.
124: Statistical Inference.
125: Stratified Random Sampling/Randomized Block Design.
126: Student&#x2019;s t-Test.
127: Switching Replications Design.
128: Systematic Sampling.
129: Time-Series Designs.
130: Type I and Type II Errors.
131: Real-World Applications of Probability and Statistics.
132: Betting and Fairness.
133: Birthday Problem.
134: Business Finance.
135: Census.
136: Climate Models and Modeling.
137: Climate Prediction and Projection.
138: Computational Methods for Economics.
139: Data Analysis and Probability in Society.
140: Data Science.
141: Dice Games.
142: Disease Survival Rates.
143: Elections.
144: Forecasting.
145: Game Theory.
146: Genetics and Mathematics.
147: Infectious Diseases, Tracking.
148: Insurance and Mathematics.
149: Interest Rates.
150: Investment Concepts.
151: Market Research and Mathematics.
152: Mathematical Puzzles.
153: Mathematics, Applied.
154: Mathematics, Theoretical.
155: Mathematics in Economics.
156: Mathematics Software.
157: Medical Diagnosis.
158: Numbers and Operations in Society.
159: Observational Data of the Atmosphere and Oceans.
160: Predicting Preferences.
161: Predictive Mathematical Models.
162: Spam Filters.
163: Stock Market Indices.
164: Trading and Markets.
165: Voting Methods.
166: Weather Forecasting: Numerical Weather Prediction.
167: Weather vs. Climate.
Bibliography.
Glossary.
Organizations.
Subject Index.

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Principles of Probability & Statistics