Download the documentation - True BASIC

46 Statistics Graphics Toolkit
SetHistoColor (col$)
Set the color used for subsequent histogram bars. This color can be a True BASIC color
name, such as “red” or a number such as “1”.
AskHistoColor (col$)
The opposite of SetHistoColor. Return the current histogram bar color.
SetNormal (f)
Call SetNormal(1) to add a normal curve automatically to every subsequent histogram
and frequency polygon. The normal curve will be automatically scaled to fit the data’s
area, mean and variance, and will be shown as a cumulative normal curve for cumulative
plots. Use 0 to turn off automatic normal curves.
AskNormal (f)
The opposite of SetNormal. Returns 1 if subsequent histograms and frequency polygons
will have normal curves added automatically. Otherwise returns 0.
T-tests and Confidence Intervals
This section describes T-tests and the confidence interval calculations that rely on
them. See the “Nonparametric Tests” section for ways of estimating point locations
and confidence intervals without using T-tests.
Ttest (data(), null, alt, t, p, mean, se, df)
One sample T-test. You must supply the dataset in data() and the null and alternate
tests in null and alt. The null hypothesis is that the mean value of the population
equals whatever you passed in null.
The alt parameter lets you construct one- or two-sided tests: a negative number means
the alternative is that the true mean is less than null; 0 means that it’s not equal; and
positive means that it’s greater. Thus the test is two-sided if alt = 0; otherwise it’s onesided.
Example: Ttest with null = 3 and alt = 0 gives a two-sided T-test. The null hypothesis
is that the true mean is 3. The alternative is that the mean is not 3.
01/01