The error messages in the SAS log indicate issues with the treatment of text as a character string. In SAS, character strings must be enclosed in quotation marks. The log shows that ' ABC Inc. ' is treated as if it is a variable or an expression, which is causing a syntax error. Enclosing ' ABC Inc. ' in quotation marks will correctly identify it as a character string. Therefore, Option B is the correct action to resolve the error messages. This error is evident as the log indicates it was expecting an arithmetic operator, which suggests that the text was misinterpreted as part of an expression.

References:

SAS documentation on character strings and data step options, SAS Institute.

The correct statement to import a CSV file into SAS and create a dataset is option B. The PROC IMPORT statement is used in SAS to read data from external files and create a SAS data set. Let ' s break down why option B is correct:

datafile= specifies the location and filename of the external data file. In this case, " sales.csv " is the correct filename and format for a CSV file.

dbms=csv tells SAS that the format of the external data file is CSV (comma-separated values).

out=mydata.sales; specifies the name of the output SAS dataset. It consists of two parts: the libref mydata and the dataset name sales . This tells SAS to store the new dataset in a library called mydata with the dataset name sales .

Option A uses an incorrect syntax as it incorrectly specifies the data= option, which is not valid in this context. Also, the out= option is incorrectly quoted and terminated with a semicolon within the quotes.

Option C has a typo in the out= option ( out=mydata.gales; ), which incorrectly specifies the output dataset name. Additionally, it incorrectly specifies the data= option, which should actually be datafile= .

Option D has incorrectly quoted the out= option and uses a hyphen instead of an equals sign. Additionally, it does not use quotes around the filename, which may cause issues if the filename contains special characters or spaces.

References: SAS 9.4 documentation, specifically the PROC IMPORT statement: SAS Help Center: PROC IMPORT Statement

To create SAS date values, the correct syntax involves specifying the date in a string format followed by the letter ' d ' . This indicates to SAS that the string should be interpreted as a date value. Therefore, the correct answers are:

A. " 10/19/2019 " d - This format directly specifies the month, day, and year, enclosed in quotes followed by ' d ' , which SAS correctly interprets as a date value.

C. " 19Oct2019 " d - This format uses a three-letter abbreviation for the month combined with the day and year, also followed by ' d ' . This is another valid way to specify a date in SAS.

Option B, mdy(10, 19, 2019) , is incorrect because while the MDY function does create date values from month, day, and year components, the function itself should be used within a DATA step or another context where SAS functions are evaluated, and it doesn ' t directly create a date literal in the same way as options A and C.

Option D, mdy(19, Oct, 2019) , is syntactically incorrect because the MDY function expects numeric arguments for the month, day, and year, and " Oct " as a literal month name is not a valid numeric argument.

References: SAS 9.4 Language Reference: Concepts.

The correct syntax for creating an Excel workbook using the ODS (Output Delivery System) Excel destination with a specific style is provided by option D. The syntax is as follows: ods excel file= ' c:\report.xlsx ' style=analysis; This statement instructs SAS to output the results of subsequent procedures to an Excel workbook located at c:\report.xlsx , applying the ANALYSIS style to the output. The file= option specifies the path and name of the Excel file to be created or overwritten, and the style= option indicates the style template to be used for the output. The ANALYSIS style is one of the predefined styles that can be applied to the output to control the appearance of tables and graphs. Other options like A) and B) are incorrect due to syntax errors and misplacement of keywords. Option C) has a typo in the file path and incorrect syntax usage. References: SAS 9.4 Output Delivery System: User ' s Guide.

The FORMAT statement in the DATA step assigns formats to variables for the SAS dataset being created. In the code provided, MSRP is given the dollar12. format and Invoice is given the dollar10. format. However, during the PROC PRINT step, MSRP is reassigned to the comma12.2 format. The format specified in the most recent PROC step or DATA step that executes is the one that is used in the output.

Therefore, the format for MSRP in the PROC PRINT output will be comma12.2 , making the answer: B. Comma12.2

References:

SAS documentation on PROC PRINT and FORMAT statement, SAS Institute.

The report shown is a cross-tabulation of ' Region ' by ' Product ' . The FREQ Procedure indicates that PROC FREQ has been used, and the presence of ' Frequency ' , ' Percent ' , ' Row Percent ' , and ' Column Percent ' suggests that a cross tabulation (or contingency table) has been requested. The correct code for this output would include the tables statement to specify the two variables ( ' Region ' and ' Product ' ) with an asterisk between them, which indicates a request for a cross-tabulation of these two categorical variables, and the crosslist option to display the table in a cross-tabulated list format. Therefore, option D is the correct answer:

proc freq data=sashelp.shoes;

tables region*product / crosslist;

run;

Options A and C use the order=freq option incorrectly, as this option would order the table by frequency counts rather than providing a cross-tabulation. Option B is missing the crosslist option needed to produce the cross-tabulated format.

Option C is correct. The set statement is used within a DATA step to read an existing SAS data set. In this case, set sashelp.shoes; reads the SASHELP.SHOES data set, and data work.total; specifies the creation of a new data set named TOTAL in the WORK library. The options A, B, and D are incorrect because they either use the wrong syntax or are not proper statements for reading an input data set and creating an output data set.

References:

SAS 9.4 documentation on the DATA step.

To rename a variable when reading a dataset in SAS, you use the rename= option inside the parentheses following the dataset ' s name in the set statement. The correct syntax for renaming the variable ' Name ' to ' StudentName ' is: rename=(oldname=newname) . Therefore, the correct option is A, which correctly places the old variable name ' Name ' first, followed by an equal sign, and then the new variable name ' StudentName ' . The parentheses enclose the rename operation, and it is correctly nested within the set statement.

References:

SAS documentation on the RENAME= data set option, SAS Institute.

Option B is correct. In SAS, variable names must be 1 to 32 characters in length. The other statements about variable names are incorrect:

A is incorrect because variable names are not case sensitive in SAS.

C is incorrect because variable names are required when you create a data set; each column must have a unique name.

D is incorrect because variable names cannot start with a number, though they can start with an underscore or a letter.

References:

SAS 9.4 documentation on SAS variables.

In PROC PRINT, the VAR statement is used to control the order of the variables displayed in the report. You can list the variables in the order you want them to appear. The KEEP statement can control which variables appear, but not their order. DROP and SELECT are not valid statements within PROC PRINT for controlling the order of variables.

References

SAS documentation for PROC PRINT.