Between Certainty and Uncertainty: Statistics and by Ludomir M. Laudański

By Ludomir M. Laudański

„Between simple task & Uncertainty” is a one-of–a-kind brief direction on records for college students, engineers  and researchers.  it's a attention-grabbing advent to stats and chance with notes on old origins and eighty illustrative numerical examples equipped within the 5 units:

 

·         bankruptcy 1  Descriptive Statistics:  Compressing small samples, easy averages - suggest and variance, their major homes together with God’s facts; linear ameliorations and z-scored data .

 

·         bankruptcy 2 Grouped data: Udny Yule’s thought of qualitative and quantitative variables. Grouping those varieties of information. Graphical instruments. Combinatorial principles and qualitative variables.  Designing frequency histogram. Direct and coded overview of quantitative facts. value of percentiles.

 

·         bankruptcy three Regression and correlation: Geometrical distance and an identical distances in orthogonal instructions  as a prerequisite to the idea that of 2 regression traces. deceptive in examining regression strains. Derivation of the 2 regression strains. used to be Hubble correct? Houbolt’s cloud. What actually measures the correlation coefficient?

 

·         bankruptcy four Binomial distribution: center a while origins of the binomials; figurate numbers  and combinatorial principles. Pascal’s Arithmetical Triangle.  Bernoulli’s or Poisson Trials? John Arbuthnot curing binomials.  How Newton taught S. Pepys chance. Jacob Bernoulli’s susceptible legislation of huge Numbers and others.

 

·         bankruptcy five  Normal distribution and binomial heritage – Tables of the conventional distribution. Abraham de Moivre and the second one theorem of de Moivre-Laplace.  

 

 

·         bankruptcy 1  Descriptive Statistics:  Compressing small samples, simple averages - suggest and variance, their major homes together with God’s evidence; linear alterations and z-scored information .

 

·         bankruptcy 2 Grouped data: Udny Yule’s suggestion of qualitative and quantitative variables. Grouping those forms of facts. Graphical instruments. Combinatorial principles and qualitative variables.  Designing frequency histogram. Direct and coded assessment of quantitative info. importance of percentiles.

 

·         bankruptcy three Regression and correlation: Geometrical distance and identical distances in orthogonal instructions  as a prerequisite to the concept that of 2 regression traces. deceptive in studying regression traces. Derivation of the 2 regression traces. used to be Hubble correct? Houbolt’s cloud. What in reality measures the correlation coefficient?

 

·         bankruptcy four Binomial distribution: center a long time origins of the binomials; figurate numbers  and combinatorial ideas. Pascal’s Arithmetical Triangle.  Bernoulli’s or Poisson Trials? John Arbuthnot curing binomials.  How Newton taught S. Pepys chance. Jacob Bernoulli’s susceptible legislations of huge Numbers and others.

 

·         bankruptcy five  Normal distribution and binomial heritage – Tables of the conventional distribution. Abraham de Moivre and the second one theorem of de Moivre-Laplace.  

 

 

·         bankruptcy five  Normal distribution and binomial heritage – Tables of the conventional distribution. Abraham de Moivre and the second one theorem of de Moivre-Laplace.  

 

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