Practice for the SAS basic certification exam.
Median
Range
Standard deviation
Standard error of the mean
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By boarded transfer deplane;
Class boarded transfer deplane;
Output boarded transfer deplane;
Var boarded transfer deplane;
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IDnum
Age
Height
Weight
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BY variables must be either indexed or sorted.
Summary statistics are computed for BY variables.
BY group processing is preferred when you are categorizing data that contains few variables.
BY group processing overwrites your data set with newly grouped observations.
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Class sex survive;
Class survive sex;
By sex survive;
By survive sex;
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Proc means data=clinic.diabetes; var age height weight; class sex; output out=work.sum_gender mean=AvgAge AvgHeight AvgWeight; run;
Proc summary data=clinic.diabetes print; var age height weight; class sex; output out=work.sum_gender mean=AvgAge AvgHeight AvgWeight; run;
Proc means data=clinic.diabetes noprint; var age height weight; class sex; output out=work.sum_gender mean=AvgAge AvgHeight AvgWeight; run;
Both a and b.
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Character variables
Numeric variables
Both character and numeric variables
None: variables must always be specified
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Continuous values.
Numeric values.
Categorical values.
Unique values.
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Proc freq data=clinic.diabetes; tables height weight; format height htfmt. weight wtfmt.; run;
Proc freq data-clinic.diabetes; tables weight height; format weight wtfmt. height htfmt.; run;
Proc freq data=clinic.diabetes; tables height*weight; format height htfmt. weight wtfmt.; run;
Proc freq data=clinic.diabetes; tables weight*height; format weight wtfmt. height htfmt.; run;
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Proc freq data=clinic.diabetes; tables sex weight / list; format weight wtfmt.; run;
Proc freq data=clinic.diabetes; tables sex*weight / nocol; format weight wtfmt.; run;
Proc freq data=clinic.diabetes; tables sex weight / norow nocol; format weight wtfmt.; run;
Proc freq data=clinic.diabetes; tables sex*weight / nofreq norow nocol; format weight wtfmt.; run;
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