Fundamentals of statistics / Diego M. Amid

By: Material type: TextTextPublisher: Quezon City : Lorimar Publishing, [2005]Description: 222 pages : illustrationsContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9716856539
Subject(s): Genre/Form:
DDC classification:
  • 310
Contents:
Meaning of statistics
Types of statistics : Descriptive statistics
Inferential statistics
Population versus sample
Basic terms
Types of variables : Quantitative variables
Qualitative or categorical variables
Scales of measurement
Summation notation
Frequency distribution
Class frequency
Class boundaries
Measures of central tendency : Arithmetic mean
Population mean
Sample mean
Weighted mean
Median
Mode
Arithmetic mean (grouped data)
Median (grouped data)
Mode (grouped data)
Measures of dispersion : Range
Variance and standard deviation
Coefficient of variation
Population parameter and a sample statistic
Variance and standard deviation for grouped data
Use of standard deviation
Measures of position
Percentiles and percentile rank
Box and whisker plot
Measures of skewness
Moments
Measures of kurtosis
Probability : Fundamental counting principle
Permutations
Definition: permutation
Combinations
Problems on counting using a number of techniques
Circular permutations
Probability distributions : Random variables and probability distributions
The binomial distribution
Binomial probabilities
The hypergeometric distribution
The poison distribution
Normal distribution
Applications of the normal distribution
Linear correlation : Correlation methods
Inferential statistics : Choice of Ho and Ha
Type and type II errors
Steps to be followed for testing a hypothesis
Test of hypothesis (a single population)
Test of hypothesis (two population)
Nonparametic statistics for ordinal data
Mann-Whitney u test
Wilcoxon matched-Paris signed rank test
Kruskal-wallis one-way analysis of variance
Permutations
Definition: permutation
Combinations
Problems on counting using a number of techniques
Circular permutations
Probability distributions : Random variables and probability distributions
The binomial distribution
Binomial probabilities
The hypergeometric distribution
The hypergeometric distribution
The poison distribution
The trinomial distribution
Normal distribution
Applications of the normal distribution
Linear correlation : Correlation methods
Inferential statistics : Choice of Ho and Ha
Type and type II errors
Steps to be followed for testing a hypothesis
Test of hypothesis (a single population)
Test of hypothesis (two population)
Mann-Whitney u test
Wilcoxon matched-Paris signed rank test
Kruskal-wallis one-way analysis of variance.
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F 310 Am516f 2005 Fundamentals of statistics F 310 Am516f 2005 Fundamentals of statistics F 310 Am516f 2005 Fundamentals of statistics F 310 Am516f 2005 Fundamentals of statistics F 310 D364b 2001 Basic statistics (with probability) F 320 Ay987f 1993 Fundamentals of political science F 320 Ay987f 1993 Fundamentals of political science

Includes bibliographical references.

Meaning of statistics

Types of statistics : Descriptive statistics

Inferential statistics

Population versus sample

Basic terms

Types of variables : Quantitative variables

Qualitative or categorical variables

Scales of measurement

Summation notation

Frequency distribution

Class frequency

Class boundaries

Measures of central tendency : Arithmetic mean

Population mean

Sample mean

Weighted mean

Median

Mode

Arithmetic mean (grouped data)

Median (grouped data)

Mode (grouped data)

Measures of dispersion : Range

Variance and standard deviation

Coefficient of variation

Population parameter and a sample statistic

Variance and standard deviation for grouped data

Use of standard deviation

Measures of position

Percentiles and percentile rank

Box and whisker plot

Measures of skewness

Moments

Measures of kurtosis

Probability : Fundamental counting principle

Permutations

Definition: permutation

Combinations

Problems on counting using a number of techniques

Circular permutations

Probability distributions : Random variables and probability distributions

The binomial distribution

Binomial probabilities

The hypergeometric distribution

The poison distribution

Normal distribution

Applications of the normal distribution

Linear correlation : Correlation methods

Inferential statistics : Choice of Ho and Ha

Type and type II errors

Steps to be followed for testing a hypothesis

Test of hypothesis (a single population)

Test of hypothesis (two population)

Nonparametic statistics for ordinal data

Mann-Whitney u test

Wilcoxon matched-Paris signed rank test

Kruskal-wallis one-way analysis of variance

Permutations

Definition: permutation

Combinations

Problems on counting using a number of techniques

Circular permutations

Probability distributions : Random variables and probability distributions

The binomial distribution

Binomial probabilities

The hypergeometric distribution

The hypergeometric distribution

The poison distribution

The trinomial distribution

Normal distribution

Applications of the normal distribution

Linear correlation : Correlation methods

Inferential statistics : Choice of Ho and Ha

Type and type II errors

Steps to be followed for testing a hypothesis

Test of hypothesis (a single population)

Test of hypothesis (two population)

Mann-Whitney u test

Wilcoxon matched-Paris signed rank test

Kruskal-wallis one-way analysis of variance.

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