uwloo

MATH 466(a) Statistical Data Analysis

Faculty
Mathematics
Last listed
1974–75

No longer offered. It’s in Waterloo’s scanned calendars from 1971–72 to 1974–75; the 1995–96 to 2023–24 calendars are on ucalendar.

statistics. Transformation of data. Plotting techniques: histogram, stem and leaf, empirical cumulative distribution function; generalized P-P and Q-Q plots including computerized normal and half-normal probability plots; high dimensional data plotting technique. Comparisags of specific distributions via probability plots, Analysis of residuals, including plotting techniques and half-normal, other - Q-Q plots, rootagrams, etc. — why they work. Random number generation techniques. Outliers in regression and analysis of variance data. W-statistic and tests for normality. Computational techniques in multiple unweighted and weighted regression. 2 hours lectures. Winter term. Prerequisite: 1) A course in FORTRAN Programming or equivalent. 2) M 338 or M 349. -

As printed in the 1973–74 to 1974–75 calendars, read by OCR; the scanned page is the original.

Check it elsewhere

    In the scanned calendars

    How it read in each calendar from 1971–72 to 1974–75, newest first. The text is OCR of the scanned pages; years whose wording matches are shown once, from the clearest scan. Each year links to its page on uwloo and to that page of the scanned PDF.

    1973–74 to 1974–75 2 calendars

    statistics. Transformation of data. Plotting techniques: histogram, stem and leaf, empirical cumulative distribution function; generalized P-P and Q-Q plots including computerized normal and half-normal probability plots; high dimensional data plotting technique. Comparisags of specific distributions via probability plots, Analysis of residuals, including plotting techniques and half-normal, other - Q-Q plots, rootagrams, etc. — why they work. Random number generation techniques. Outliers in regression and analysis of variance data. W-statistic and tests for normality. Computational techniques in multiple unweighted and weighted regression.

    2 hours lectures. Winter term. Prerequisite: 1) A course in FORTRAN Programming or equivalent. 2) M 338 or M 349. -

    Not in the 1972–73 calendar.

    1971–72 1 calendar

    Titled (a) statistical Data Analysis.

    Summary Statistics (mean, median, midmean, hinge, trimean, etc.). Transformation of data (to increase symmetry, remove strays, equalize spread). Residuals (from various measures of centrality, plottings, etc.) Outliers (effect on summary statistics and residuals, identification and removal). Plotting techniques (dot plots, histograms, stem-and-leaf box

    Faculty of Mathematics

    Prerequisite: (1) A course in Fortran Programming or equivalent. (2) Mathematics 338