-@float Example, normality
-@cartouche
-@example
-@prompt{@pspp{}>} get file='@value{example-dir}/repairs.sav'.
-@prompt{@pspp{}>} examine mtbf
- /statistics=descriptives.
-@prompt{@pspp{}>} compute mtbf_ln = ln (mtbf).
-@prompt{@pspp{}>} examine mtbf_ln
- /statistics=descriptives.
-@end example
-
-Output:
-@example
-1.2 EXAMINE. Descriptives
-#====================================================#=========#==========#
-# #Statistic|Std. Error#
-#====================================================#=========#==========#
-#mtbf Mean # 8.32 | 1.62 #
-# 95% Confidence Interval for Mean Lower Bound# 4.85 | #
-# Upper Bound# 11.79 | #
-# 5% Trimmed Mean # 7.69 | #
-# Median # 8.12 | #
-# Variance # 39.21 | #
-# Std. Deviation # 6.26 | #
-# Minimum # 1.63 | #
-# Maximum # 26.47 | #
-# Range # 24.84 | #
-# Interquartile Range # 5.83 | #
-# Skewness # 1.85 | .58 #
-# Kurtosis # 4.49 | 1.12 #
-#====================================================#=========#==========#
-
-2.2 EXAMINE. Descriptives
-#====================================================#=========#==========#
-# #Statistic|Std. Error#
-#====================================================#=========#==========#
-#mtbf_ln Mean # 1.88 | .19 #
-# 95% Confidence Interval for Mean Lower Bound# 1.47 | #
-# Upper Bound# 2.29 | #
-# 5% Trimmed Mean # 1.88 | #
-# Median # 2.09 | #
-# Variance # .54 | #
-# Std. Deviation # .74 | #
-# Minimum # .49 | #
-# Maximum # 3.28 | #
-# Range # 2.79 | #
-# Interquartile Range # .92 | #
-# Skewness # -.16 | .58 #
-# Kurtosis # -.09 | 1.12 #
-#====================================================#=========#==========#
-@end example
-@end cartouche
-@caption{Testing for normality using the @cmd{EXAMINE} command and applying
-a logarithmic transformation.
-The @var{mtbf} variable has a large positive skew and is therefore
-unsuitable for linear statistical analysis.
-However the transformed variable (@var{mtbf_ln}) is close to normal and
-would appear to be more suitable.}
-@end float
-
-