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# The data set orion.orders contains information about in-store, catalog, and Internet orders as well as delivery dates.

I need help with this problem, the professor, didnt help very clear.

The data set orion.orders contains information about in-store, catalog, and Internet orders

as well as delivery dates.

Partial orion.orders (490 Total Observations)

Order_                                       Order   Delivery

Order_ID    Type     Employee_ID    Customer_ID        Date      Date

1230058123      1           121039             63    11JAN2007   11JAN2007

1230080101      2         99999999              5    15JAN2007   19JAN2007

1230106883      2         99999999             45    20JAN2007   22JAN2007

1230147441      1           120174             41    28JAN2007   28JAN2007

1230315085      1           120134            183    27FEB2007   27FEB2007

a.     Orion Star wants to study catalog and Internet orders that were delivered quickly, as well as those that went slowly.

·   Create three data sets named work.fast, work.slow, and work.veryslow.

·   type WHERE statement to read only the observations with Order_Type equal

to 2 (catalog) or 3 (Internet).

·   Make a variable named ShipDays that is the number of days between when the order

is placed and when the order is delivered.

·   Handle the output as follows:

-   Output to work.fast when the value of ShipDays is less than 3.

-   Output to work.slow when the value of ShipDays is 5 to 7.

-   Output to work.veryslow when the value of ShipDays is greater than 7.

-   Do not output an observation when the value of ShipDays is 3 or 4.

·   Drop the variable Employee_ID.

·   There should be 80 observations in work.fast, 69 observations in work.slow, and 5 observations in work.veryslow.

Of the 490 observations in orion.orders, only 230 are read due to the WHERE statement.

b.     Print your results from work.veryslow with an appropriate title.

work.veryslow

Orders taking more than 7 days to deliver

Order_                      Order_    Delivery Ship

Obs       Order_ID    Type     Customer_ID        Date      Date       Days

1      1231305521      2               16    27AUG2007   04SEP2007      8

2      1236483576      2            70108    22JUL2009   02AUG2009     11

3      1236965430      3            70165    08SEP2009   18SEP2009    10

4      1237165927      3               79    27SEP2009   08OCT2009     11

5      1241298131      2             2806    29JAN2011   08FEB2011     10

C.Type solution to the previous exercise using SELECT logic instead of IF-THEN/ELSE logic. Refer to SAS documentation to explore the use of a compound expression in a SELECT statement. Print the data set work.veryslow.

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