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MKAN1-UC 5103 Marketing Analytics Fall 2023 HW2

Instructions:

• Go to SAS Studio 3.8 User’s Guide website

https://documentation.sas.com/doc/en/webeditorcdc/3.8/webeditorref/titlepage.htm

• Find SAS Studio Task Reference – Data Tasks

1) Filter Data 

2) Rank Data

3) Transform Data

4) Combine Tables

5) Characterize Data

6) Describe Missing Data

7) Select Random Sample

8) Sort Data

• (5 points) Read the eight tasks carefully and follow the instruction on the website to conduct the example under each task. Copy and paste the syntax (which is generated automatically during point-and click) for all the tasks into ONE SAS file called "YourLastName_HW2"
• Submit that file under Assignments as your answer to HW2

Questions:

a. Example 1: Creating a Simple Filter

b. Example 2: Creating a Compound Filter

2. (10 points) [Rank Data] Example: Ranking Students by Height within Age

3. (10 points) [Transform Data] Example: Transforming the Data in the BASEBALL Data Set

4. (10 points) [Combine Tables] Combine Tables: Example

5. (10 points) [Characterize Data] Example: Characterize Data Task

6. (10 points) [Describe Missing Data] Example: Describing Missing Data for SASHELP.BASEBALL

7. (10 points) [Select Random Sample] Example: Creating a Random Sample of the Sashelp.Pricedata Data Set

Note:

This is a 100-point assignment. You need to submit your answer by the due time, answer satisfactorily all points in each question and follow these instructions fully. Late submissions will receive automatic 0 point.

This is an individual assignment. Any teamwork found will receive automatic 0 point.