responded to Terri's post by agreeing with her thought that the teaching of measures of central tendency
should go beyond mere computation.
Based on the spatial distribution of ESP in the top three sampling increments in Figure 3 and the measures of central tendency
from grid sampling in Table 3, it is unlikely that routine soil sampling that produces a composite sample from sub-samples taken in a zig-zag or grid pattern would have delineated these areas either.
He gives basic terminology and concepts such as scales of measurement and variables, then launches into a range of methods displaying data, measures of central tendency
and variability, normal distribution, basic concepts of probability, sampling distributions and hypothesis testing, correlation, regression, multiple regression, power, the various analyses of variance, the chi-square, nonparametric and distribution-free statistical tests, and a very handy set of instructions on choosing the appropriate analysis.
The second chapter, "A Few Basics," explains introductory statistical methods such as measures of dispersion, measures of central tendency
, and sampling.
Topics discussed are data analysis; measures of central tendency
, dispersion, and position; probability; counting rules; normal and binomial distributions; and correlations.
Demonstrate the need for other measures of central tendency
by pointing out the main weakness of the mean--the extent to which its value can be affected by extreme scores.
When measures of central tendency
are needed, means are generally reported.
He works through statistical parameters in terms of the measures of central tendency
and variation, standard scores, the z distribution, hypothesis testing, inferential statistics, including baloney detection, correlation and regression, the t test for independent and dependent groups, analysis of variance for a variety of situations, functional analysis of variance, nonparametric statistics and other statistical parameters and tests.
The authors cover measures of central tendency
, correlation, regression, chi square test of significance, analysis of variance, group comparisons, and split block design.