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Cosmetic - changed bolding a tiny bit.

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[SVN r39580]
This commit is contained in:
Paul A. Bristow
2007-09-27 17:28:15 +00:00
parent dee553aa83
commit 42f349e5f0
1 changed files with 8 additions and 8 deletions
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16
doc/distributions/students_t_examples.qbk
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@@ -266,19 +266,19 @@ can be summarised in the following table:
`cdf(complement(dist, fabs(t))) < alpha / 2`]]
[[The Alternative-hypothesis: there is
*difference* in means]
[[The Alternative-hypothesis: there
*is difference* in means]
[Reject if complement of CDF for |t| > significance level / 2:
`cdf(complement(dist, fabs(t))) > alpha / 2`]]
[[The Alternative-hypothesis: the sample mean is *less* than
[[The Alternative-hypothesis: the sample mean *is less* than
the true mean.]
[Reject if CDF of t > significance level:
`cdf(dist, t) > alpha`]]
[[The Alternative-hypothesis: the sample mean is *greater* than
[[The Alternative-hypothesis: the sample mean *is greater* than
the true mean.]
[Reject if complement of CDF of t > significance level:
@@ -289,7 +289,7 @@ the true mean.]
Notice that the comparisons are against `alpha / 2` for a two-sided test
and against `alpha` for a one-sided test]
Now that we have all the parts in place let's take a look at some
Now that we have all the parts in place, let's take a look at some
sample output, first using the
[@http://www.itl.nist.gov/div898/handbook/eda/section4/eda428.htm
Heat flow data] from the NIST site. The data set was collected
@@ -597,8 +597,8 @@ complement of the probability:
Here we've used the absolute value of the t-statistic, because we initially
want to know simply whether there is a difference or not (a two-sided test).
However, we can also test whether the mean of the second sample is greater
or less than that of the first: all the possible tests are summed up
in the following table:
or is less (one-sided test) than that of the first:
all the possible tests are summed up in the following table:
[table
[[Hypothesis][Test]]
@@ -634,7 +634,7 @@ For a two-sided test we must compare against alpha / 2 and not alpha.]
Most of the rest of the sample program is pretty-printing, so we'll
skip over that, and take a look at the sample output for alpha=0.05
(a 95% probability level). For comparison the dataplot output
for te same data is in
for the same data is in
[@http://www.itl.nist.gov/div898/handbook/eda/section3/eda353.htm
section 1.3.5.3] of the __handbook.