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Statistics 101 : from data analysis and predictive modeling to measuring distribution and determining probability, your essential guide to statistics / David Borman.

By: Material type: TextTextLanguage: eng Series: Adams 101Publisher: New York : Adams Media, 2018Edition: First Adams media hardcover editionDescription: 235 pages : illustrations ; 19 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781507208175 (hardcover)
  • 1507208170 (hardcover)
Subject(s): Additional physical formats: Online version:: Statistics 101DDC classification:
  • 519.5 23
LOC classification:
  • QA276.12 .B6678 2018
Contents:
The basics of statistics How statistics are used Key points of statistical analytics Mixing up the test Knowing the quality of your data Modeling risk, measuring samples, and predicting Frequency distributions Dot plots, bar charts, histograms, frequency polygons More ways to see numbers-based data The mean, the median, and the mode The range and interquartile range Mean deviations and variations The law of large numbers Empirical probability and subjective probability Yes or no Basics of probability distributions Analyzing probability distributions The roll of the dice Normal distribution The central limit theorem Outliers on the bell curve Limited and unlimited data Variance as a measure of risk Size matters Measuring distribution What are confidence intervals? Measuring confidence intervals The basics of hypothesis testing Taking it to the next level Measuring large sample population proportions The hypothesis test Patterns in data Predicting the future The T-distribution Groups of data Tests for two populations Statistics in academic research Getting good data A regression example What regression data tables tell us Determining the causes Chi-square distribution Anova basics Anova at work Quantitative research design Quality of the data Quantity and sourcing of the data Appropriate survey design The ethics of statistics Big data, supercomputers, and artificial intelligence
Summary: From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun.-- Provided by publisher.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Automatización y Procesos Técnicos Automatización y Procesos Técnicos (1er. Piso) QA276.12 .B6678 2018 (Browse shelf(Opens below)) 1 Available 00000192908

A crash course in statistics"--Cover.

Includes index.


The basics of statistics
How statistics are used
Key points of statistical analytics
Mixing up the test
Knowing the quality of your data
Modeling risk, measuring samples, and predicting
Frequency distributions
Dot plots, bar charts, histograms, frequency polygons
More ways to see numbers-based data
The mean, the median, and the mode
The range and interquartile range
Mean deviations and variations
The law of large numbers
Empirical probability and subjective probability
Yes or no
Basics of probability distributions
Analyzing probability distributions
The roll of the dice
Normal distribution
The central limit theorem
Outliers on the bell curve
Limited and unlimited data
Variance as a measure of risk
Size matters
Measuring distribution
What are confidence intervals?
Measuring confidence intervals
The basics of hypothesis testing
Taking it to the next level
Measuring large sample population proportions
The hypothesis test
Patterns in data
Predicting the future
The T-distribution
Groups of data
Tests for two populations
Statistics in academic research
Getting good data
A regression example
What regression data tables tell us
Determining the causes
Chi-square distribution
Anova basics
Anova at work
Quantitative research design
Quality of the data
Quantity and sourcing of the data
Appropriate survey design
The ethics of statistics
Big data, supercomputers, and artificial intelligence

From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun.-- Provided by publisher.

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