Fundamentals of statistics

Amid, Diego M.

Fundamentals of statistics / Diego M. Amid - 222 pages : illustrations

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.

9716856539


Statistics--Study and teaching (Higher)
Statistics--Problems,exercises, etc



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