Statistics for the utterly confused / Lloyd R. Jaisingh.

By: Material type: TextTextSeries: Utterly confusedPublication details: New York : McGraw-Hill, Description: xv, 318 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0071350055
  • 9780071350051
  • 0071183817
  • 9780071183819
Subject(s): Genre/Form: DDC classification:
  • 519.5 21
LOC classification:
  • QA276.18 .J35 2000
NLM classification:
  • QA 276.18 J39s 2000
Online resources:
Contents:
Descriptive statistics (Graphical displays of univariate data ; Data description (Numerical measures of central tendency for ungrouped univariate data ; Numerical measures of variability for ungrouped univariate data ; Numerical measures of position for ungrouped univariate data) ; Exploring bivariate data ; Exploring categorical data) -- Probability (Randomness, uncertainty & probability ; Discrete probability distributions ; Normal probability distribution ; Sampling distributions and the central limit theorem) -- Statistical inference (Confidence intervals ; Hypothesis tests : large samples ; Confidence intervals & hypothesis tests : small samples ; Chi-square procedures).
Summary: Explains introductory, non-calculus-based statistics, providing step-by-step guidance through sample problems and applying it to subjects such as business and economics.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Odessa College Stacks 519.5 J25S (Browse shelf(Opens below)) 1 Available 51994001383647

Includes index.

Explains introductory, non-calculus-based statistics, providing step-by-step guidance through sample problems and applying it to subjects such as business and economics.

Descriptive statistics (Graphical displays of univariate data ; Data description (Numerical measures of central tendency for ungrouped univariate data ; Numerical measures of variability for ungrouped univariate data ; Numerical measures of position for ungrouped univariate data) ; Exploring bivariate data ; Exploring categorical data) -- Probability (Randomness, uncertainty & probability ; Discrete probability distributions ; Normal probability distribution ; Sampling distributions and the central limit theorem) -- Statistical inference (Confidence intervals ; Hypothesis tests : large samples ; Confidence intervals & hypothesis tests : small samples ; Chi-square procedures).

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