Statistics and probability / Ronald L. Arciaga, Dan Andrew H. Magcuyao

By: Arciaga, Ronald L [author]
Contributor(s): Magcuyao, Dan Andrew H [author]
Pasay City : JFS Publishing Services, 2016Description: v, 167 pages ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9786214150472Subject(s): Statistics | ProbabilityDDC classification: 519.5
Contents:
Lesson 1 Probability Probability Sets Sample Space and Events Counting Sample Points Permutation Combination Probability of an Event Properties and Theorems of Probability Conditional Probability and Independent Events Lesson 2 Random Variable Random Variable Discrete Probability Distributions Mathematical Expectation & Mean of Random Variable Variance of a Random Variable Discrete Uniform Distribution Binomial and Multinomial Distribution Binomial Distribution Multinomial Experiments Multinomial Distribution Poisson Distribution Lesson 3 Normal Distribution Normal Distribution The Normal Probability Distribution Normal Distribution The Standard Normal Random Variable Computation of Area under the Normal Curve Application of the Normal Distribution Normal Approximation to the Binomial Lesson 4 Estimation Estimation Confidence Interval Critical Values and Significance Level Margin of Error Confidence Interval for The Man Large Sample Estimation Sample Size Determination Lesson 5 Testing of Hypothesis Testing of Hypothesis Testing a Statistical Hypothesis Claims and Decisions Setting up the Null and Alternative Hypothesis The Null hypothesis Problem Claims Level of Significance One-and-Two- tailed Tests Steps for Hypothesis Testing Tests Concerning Means Single Mean with Unknown Variance Lesson 6 Linear Regression Linear Regression Introduction Linear Regression Linear Correlation
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519.5 Ar26 2016 (Browse shelf) c.1 Available CITU-HS-SHS397
BOOK BOOK HIGH SCHOOL LIBRARY - SHS
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519.5 Ar26 2016 (Browse shelf) c.2 Available CITU-HS-SHS398
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Lesson 1 Probability Probability Sets Sample Space and Events Counting Sample Points Permutation Combination Probability of an Event Properties and Theorems of Probability Conditional Probability and Independent Events Lesson 2 Random Variable Random Variable Discrete Probability Distributions Mathematical Expectation & Mean of Random Variable Variance of a Random Variable Discrete Uniform Distribution Binomial and Multinomial Distribution Binomial Distribution Multinomial Experiments Multinomial Distribution Poisson Distribution Lesson 3 Normal Distribution Normal Distribution The Normal Probability Distribution Normal Distribution The Standard Normal Random Variable Computation of Area under the Normal Curve Application of the Normal Distribution Normal Approximation to the Binomial Lesson 4 Estimation Estimation Confidence Interval Critical Values and Significance Level Margin of Error Confidence Interval for The Man Large Sample Estimation Sample Size Determination Lesson 5 Testing of Hypothesis Testing of Hypothesis Testing a Statistical Hypothesis Claims and Decisions Setting up the Null and Alternative Hypothesis The Null hypothesis Problem Claims Level of Significance One-and-Two- tailed Tests Steps for Hypothesis Testing Tests Concerning Means Single Mean with Unknown Variance Lesson 6 Linear Regression Linear Regression Introduction Linear Regression Linear Correlation

500-599 519.5

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