The PROC MEANS statement is used to compute descriptive statistics of data in SAS. Option A is the correct code to produce the report shown in the first image because of the following reasons:
* data=sashelp.shoes specifies the dataset on which the procedure is to be performed.
* sum mean specifies that the summary statistics should include the sum and mean of the variables.
* var Sales; specifies that the variable Sales is the analysis variable for which the summary statistics are to be computed.
* class Product; specifies that the procedure should classify results by unique values of the Product variable. This will produce separate statistics for each type of product, which aligns with the structure of the report provided in the image.
Options B, C, and D are incorrect for the following reasons:
* B uses group instead of class, and group is not a valid statement in the context of PROC MEANS.
Also, var Sale; is incorrect as the variable name is Sales.
* C includes nobe; which is not a valid SAS option and seems to be a typo. The by statement is used for sorting data, not for classifying groups as class does.
* D incorrectly uses sum Salad; and mean Sales; as separate statements and has an invalid use of by product; which is not needed here.
References:
* SAS 9.4 documentation for the PROC MEANS statement: SAS Help Center: PROC MEANS

To subset data in SAS using the data step, the where statement is used to specify the conditions that observations must meet to be included in the new data set. The correct syntax for subsetting the SASHELP.BASEBALL data set to include only players in the 'East' Division with 75 or more hits is as follows:
data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run;
This code, as shown in option D, uses the where statement with the correct logical operator and to ensure that both conditions must be true for a record to be included in the new dataset. Options A, B, and C either use incorrect syntax or logical operations that do not match the required conditions for the subset. Option A has an incorrect combination of conditions, B uses two where statements which is not valid syntax, and C incorrectly uses the or operator which would include players not in the 'East' Division or with fewer than 75 hits.

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

The reason the labels for MSRP, MPG_City, and MPG_Highway are not displaying in the PROC PRINT report is that the LABEL option was not used in the PROC PRINT statement. In SAS, even if you have label statements in your DATA step, you must also specify the LABEL option in the PROC PRINT statement for those labels to be used in the report output. Thus, the correct answer is Option A: You must use the LABEL option on the PROC PRINT statement.
References:
* SAS documentation on the PROC PRINT statement and LABEL option, SAS Institute.