BA 232: Introductory Business Statistics
CRN 42209, Sec. 1
~*~ FALL 2005 ~*~
Tami Matsumoto     Mon-Thu 8-8:50 am    SH 109

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Last Revised 5 September 2005.   (Please Reload or Refresh)

BA232 Vocabulary, in Alphabetical Order

 Link to Chapter lists 
  • arithmetic mean (p. 90)
  • bar chart (p. 24, 26, 139, 140)
  • bell shape (p. 40)
  • bimodal (p. 40)
  • bivariate (p. 52)
  • box plots (p. 110, 139, 140)
  • categorical data -- see 'nominal'
  • Chebysheff's Theorem (p. 104)
  • class intervals (p. 38)
  • classes (p. 35, 38)
  • coefficient of correlation (p. 117, 139, 140)
  • coefficient of variation (p. 105, 139, 140)
  • confidence level (introduced p. 5 -- more later)
  • contingency table (p. 24) aka cross-classification table or cross-tabulation table
  • correlation -- see 'coefficient of correlation'
  • covariance (p. 115, 139, 140)
  • cross-classification table -- see 'contingency table'
  • cross-sectional data (p. 64)
  • cross-tabulation table -- see 'contingency table'
  • cumulative relative frequency distribution (p. 48)
  • CV (p. 105)
  • cv (p. 105)
  • data (p. 19)
  • data, hierarchy and types (p. 22)
  • datum (p. 19)
  • deciles (p. 107)
  • descriptive statistics (p.18)
  • descriptive statistics (p.2)
  • deviation (p. 100)
  • Empirical Rule (p. 103-104)
  • exit polls (p. 4)
  • first quartile -- see 'quartiles'
  • frequency distribution (p. 23)
  • frequency distribution, cumulative relative -- see 'cumulative relative frequency distribution'
  • frequency distribution, relative -- see 'relative frequency distribution'
  • graphical deception (p. 81)
  • graphical excellence (p. 74)
  • hierarchy of data (p. 22)
  • histogram (p. 35, 139, 140)
  • inferential statistics (p. 3)
  • interquartile range (p. 110, 114, 139, 140)
  • interval data (p. 19, 21, 22, 140), aka quantitative, numerical
  • least squares line -- see 'least squares method'
  • least squares method (p. 122, 139, 140)
  • line chart (p. 65, 139, 140)
  • linear relationship (p. 60)
  • lower quartile -- see 'quartiles'
  • m (p. 91) -- Greek letter "mu"
  • mean (p. 90, 91, 95, 97, 139, 140)
  • mean absolute deviation (p. 100)
  • measures of central location (p. 90, 95, 139, 140)
  • measures of linear relationship (p. 115, 139, 140)
  • measures of relative standing (p. 107, 139, 140)
  • measures of variability (p. 99, 139, 140)
  • median (p. 21)
  • median (p. 92, 95, 97, 139, 140)
  • modal class (p. 40)
  • mode (p. 93, 95, 97, 139, 140)
  • n (p. 90)
  • N (p. 90)
  • negative linear relationship (p. 60)
  • negativeley skewed -- see 'skewness'
  • nominal data (p. 19, 21, 22, 140), aka qualitative, categorical
  • numerical data -- see 'interval'
  • ogive (p. 47, 139, 140)
  • ordinal data (p. 19, 21, 22, 140)
  • outliers (p. 110)
  • parameter (p. 5, 90)
  • percentile (p. 107, 108, 114, 139, 140)
  • pie chart (p. 24, 26, 139, 140)
  • population (p. 18)
  • population (p. 5, 90)
  • population coefficient of correlation (p. 117)
  • population coefficient of variation (p. 105)
  • population covariance (p. 115)
  • population mean (p. 91)
  • population size, N (p. 90)
  • population standard deviation (p. 102)
  • population variance (p. 99)
  • positive linear relationship (p. 60)
  • positively skewed -- see 'skewness'
  • problem objective (p. 22, 140)
  • qualitative data -- see 'nominal'
  • quantitative data -- see 'interval'
  • quartiles (p. 107, 114, 139, 140)
  • quintiles (p. 107)
  • r (p. 117)
  • r (p. 117) -- Greek letter "rho"
  • range (p. 99, 139, 140)
  • range, interquartile -- see 'interquartile range'
  • relative frequency distribution (pp 23-24, 47)
  • s (p. 102)
  • s (p. 102) -- Greek letter "sigma"
  • s2 (p. 99)
  • s2 (p. 99)
  • sample (p. 5, 18, 90)
  • sample coefficient of correlation (p. 117)
  • sample coefficient of variation (p. 105)
  • sample covariance (p. 115, 116)
  • sample mean (p. 91)
  • sample size, n (p. 90)
  • sample standard deviation (p. 102)
  • sample variance (p. 99, 101)
  • scatter diagram (p. 58, 139, 140)
  • scatter diagrams, patterns of (p. 60)
  • scatterplot -- see 'scatter diagram'
  • second quartile -- see 'quartiles'
  • significance level (introduced p. 5 -- more later)
  • skewness of histograms (p. 39)
  • standard deviation (p. 102, 103, 139, 140)
  • statistic (p. 5, 90)
  • statistical inference (introduced p. 5 -- more later)
  • stem plot -- see 'stem-and-leaf'
  • stem-and-leaf display (p 45, 139, 140)
  • sxy (p. 115)
  • sxy (p. 115)
  • symmetry of histograms (p. 39)
  • third quartile -- see 'quartiles'
  • time-series data (p. 64, 139, 140)
  • types of data (p. 22, 140)
  • unimodal (p. 40)
  • univariate (p. 52)
  • upper quartile -- see 'quartiles'
  • values (of a variable) (p. 19)
  • variable (p. 18)
  • variance (p. 99, 102, 139, 140)
  • whiskers (p. 110)
  • 'x-bar' (p. 91)
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