Elementary statistics / Josefina Venegas Almeda, Therese Garcia Capistrano, Genelyn Ma. Ferry Sarte
Material type:
TextPublisher: Quezon City : University of the Philippines Press, [2010]Description: xiv, 698 pages : illustrationsISBN: - 9789715426374
- 519.5
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| F 515.15 C144 1986 Calculus with analytic geometry, part 1 | F 515.15 C144 1986 Calculus with analytic geometry, part 2 | F 516.242 L151m 2016 Modern plane trigonometry | F 519.5 El38 2010 Elementary statistics | F 519.5 P139s 2014 Statistics with computer based discussions | F 523.7 C822s 2001 The sun and other stars | F 530 Sa236b 2007 Breaking through physics |
Includes bibliographical references and index.
Chapter 1. Introduction
Basic concepts
Fields of statistics
Steps in a statistical inquiry
Chapter 2. Collection of data
Measurement
Data collection methods
The questionnaire
The Philippine statistical system
Chapter 3. Sampling and sampling techniques
Basic concepts
Methods of probability sampling
Methods of nonprobability sampling
Sample size determination
Chapter 4. Presentation of data
Textual presentation
Tabular presentation
Graphical presentation
Chapter 5. Organization of data
Raw data and array
Frequency distribution
Chapter 6. Measures of central tendency
Summation
The arithmetic mean
The median
The mode
Chapter 7. Measures of location
The percentiles
The quartiles
The declines
Chapter 8. Measures of dispersion
The range
The variance ad standard deviation
The coefficient of variation
Chapter 9. Measures of Skewness and Kurtosis
Symmetry and Skewness
Common measures of Skewness
Types of Kurtosis
Measure of Kurtosis
Chapter 10. Introduction to probability theory
Probabilistic models
Basic concepts of probability
Approaches to assigning probabilities
Rules of counting
Properties of a probability function
Conditional probability
Independent events
Random variables and distributions
Expected value of random variable
Common probability distributions
Chapter 11. Sampling distributions
Basic concepts
Central limit theorem
Sampling from the normal distribution
Chapter 12. Exploratory data analysis
Basic elements of exploratory data analysis
Stem-and-leaf display
Five number summaries
Boxplots
Chapter 13. Estimation: single population
Basic concepts of estimating population parameters
Point estimation of a parameter
Confidence interval for the mean
Confidence interval for the proportion
Confidence interval for the variance
Determining the sample size
Chapter 14. Estimation : two population
Basic concepts in selecting samples from two populations
Point estimation of the difference between two means and of the difference between two proporions
Point estimation of the ratio of two variances
Confidences interval for the differences of means
Confidence interval for the difference of proportions
Confidence interval for the ratio of two variances
Determining the sample sizes
Chapter 15. Tests of hypotheses : single population
Basic concepts in testing statistical hypotheses
Hypothesis tests for the mean
Hypothesis tests for the proportion
Hypothesis test for the variance
Chapter 16. Tests of hypotheses : two populations
Hypothesis tests for two means
Hypothesis tests for two proportions
Hypothesis tests for two variances
Chapter 17. Chi-square tests
Goodness-of-fit test
Test for independence
Chapter 18. Simple linear regression analysis
Correlation analysis
Simple linear regression model
Estimation using the method of least squares
Diagnostic checking
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