SAS Assessment 1

We need to subset our data so that it should only show records of people whose last names are Dorian or Dwight or Swarley. Which of the given statements will give us our desired output?

Where Last Name = 'Swarley' or 'Dorian' or 'Dwight';

Where Last Name in (Dorian Dwight Swarley);

Where Last Name in 'Dorian', 'Swarley', 'Dwight";

Where Last Name in ('Dwight', 'Dorian', 'Swarley)';

We want to create a SAS data set to use for creating a format in the future. What set of variables are absolutely necessary for a SAS data set to be used as CITLIN data set?

END, FMTNAME, START, LABEL

FORMATNAME, START, LABEL

START, END, LABEL

LABEL, FMTNAME, START

The dataset toomanyobs contains 1500 observations. If we run the data step below, how many observations will the SHRINK dataset contain?

DATA shrink;

SET hugedata.toomanyobs (firstobs=400 obs=800);

RUN;

800

400

401

700

What are the statistics generated by default when we run this PROC MEANS program?

proc means data = mylibs.employees;

var salary;

RUN;

NObs, N, N Miss, Mean

Mean, Median, Mode

N, Mean, Std Dev, Minimum, Maximum

Mean, Median, Std Dev, Variance

Input(date, date9.);

Translate(date, $9.);

Put(date, date9.);

Convert(date, numeric.);

INPUT Name $ Salary DOLLAR11. Age;

INPUT Name $ Salary :DOLLAR11. Age;

INPUT Name $ @10 Salary DOLLAR11. Age Penny $64,350 41

INPUT Name S@'s Salary Age;

DATA watchlist (drop-country): SET mylibs.destinations; IF country "Yemen then flag=1; RUN;

PROC PRINT DATA=countries; SUM population; IF continent "Asia": RUN;

PROC PRINT DATA = &syslast; RUN

PROC FREQ DATA = binomial.velocity: TABLES XYZ; RUN;

Which of the following procedures is the most useful for determining extreme data values?

Proc Univariate

Proc Means

Proc Print

Proc Contents

Observations 1, Month-12

Observations=12, no Month variable in output dataset

Observations=1, Month=13

Observations=12, Month=13

SAS Assessment 1

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