Describing a numeric variable. ANOVA

1.1
Other Commands How to...

means variable1 [variable2][/Q or /Quiet]
Command abbreviated form: mea

The MEANS command does a basic descriptive statistic for numeric variable1, stratified by variable2... If the name of a second filed is provided (variable2) ,means will also do an analsysis of varianza , treating all other variables as factors

Both variables must be numeric (*)
(*) This will changed in future versions. Then only the first variable must be numeric

Output:


Age:
SEX1	Obs.	Sum	Mean	Variance	Std Dev	( 95% CI	mean )	Std Err	
1.000000	31	1142.00	36.84	581.94	24.12	27.99	45.69	4.33	
6.000000	44	1619.00	36.80	385.93	19.65	30.82	42.77	2.96	
									
SEX1	Minimum	p5	p10	p25	Median	p75	p90	p95	Max
1.000000	3.00	5.40	7.20	15.00	36.00	62.00	69.60	75.20	77.00
6.000000	8.00	9.50	11.50	16.25	35.50	53.75	62.50	68.00	72.00
Source	SS	df	MS	F	p Value
Between	0.03	1	0.03	0.00	0.993
Within	34053.35	73	466.48	 	 
Total	34053.39	74	460.18	 	 
Bartlett's test for homogeneity of varianceChi2= 1.489 df(1) p= 0.222
If only variable1 is specified a descriptive summary of this variable is given plus a test to evaluate whether the means was 0.
If two variables name are specified a descriptive summary of variable1 for each value of variable2 is displayed.
Variability between groups, within groups and total are given.
The real output can be different depending on the options used (see below)


Examples and Hints
MEANS AGE                         (A descriptive summary of AGE for all records in the data set not afected for the select statement (if any))A cross tabulation of SEX by ILL)
MEANS BP SMOKE                 (A comparative analysis of varaible BP stratified by SMOKE)
Notice:
Stratifying variable(s) must be NUMERIC. Use GEN and recode or If..then if yours is not NUMERIC.
Confidence Intervals given are based on the T-distribution with N-1 degrees of freedom

Related Commands:
Describe
Options:
/Q or /Quiet Do not show tablas at all
Output variables:
$variable#
$level#
$Obs#
$Sum#
$mean#
$var#
$sd#
$cfiL#
$cfiH#
$stdErr#
$min#
$p05#
$p10#
$p25#
$p50#
$p75#
$p90#
$p95#
$max#
Name of variable of stratification
Value # of stratifiying variable (1 for the first value in alpha-numeric order)
Number of observations (records) with value # in variable 2
Sum of variable1 for records with value # in variable 2
Average of variable1 for records with value # in variable 2
Variance of variable1 for records with value # in variable 2
Standar deviation of variable1 for records with value # in variable 2
Lower limit of the 95% IC of variable1 for records with value # in variable 2
Higher limit of the 95% IC of variable1 for records with value # in variable 2
Standar Error of variable1 for records with value # in variable 2
Minimun value of variable1 for records with value # in variable 2
Percentile 5 of variable1 for records with value # in variable 2
Percentile 10 of variable1 for records with value # in variable 2
Percentile 25 of variable1 for records with value # in variable 2
Percentile 50 (median) of variable1 for records with value # in variable 2
Percentile 75 of variable1 for records with value # in variable 2
Percentile 90 of variable1 for records with value # in variable 2
Percentile 95 of variable1 for records with value # in variable 2
Maximun value of variable1 for records with value # in variable 2
Output definition:
set table design stat =line[box][filled][system]
set table design summary =line[box][filled][system]
set statistics= ON [OFF]
Main tables design will be acording with this command. The default value is line
Summary table design will be acording with this command. The default value is line
T-Student or Barlett's test will be included if statistics are set to ON
References:
No specific references
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