Consumer Dummies's Statistics: 1,001 Practice Problems For Dummies (+ Free PDF

By Consumer Dummies

ISBN-10: 1118776046

ISBN-13: 9781118776049

Ebook ISBNs: 9781118776056 ; 9781118776162

1,001 perform possibilities to attain larger in statistics

1,001 data perform difficulties For Dummies takes you past the guide and tips provided in information For Dummies to provide you a extra hands-on figuring out of records. The perform difficulties provided diversity in trouble, together with specific reasons and walk-throughs.

In this sequence, each step of each answer is proven with causes and targeted narratives that can assist you remedy each one challenge. With the booklet buy, you’ll additionally get entry to perform information difficulties on-line. This content material positive aspects 1,001 perform difficulties offered in a number of selection structure; on-the-go entry from shrewdpermanent telephones, pcs, and capsules; customizable perform units for self-directed research; perform difficulties categorised as effortless, medium, or demanding; and a one-year subscription with publication purchase.

  • Offers on-the-go entry to perform data problems
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1,001 information perform difficulties For Dummies offers abundant perform possibilities for college kids who can have taken statistics in highschool and wish to study an important innovations as they apparatus up for a faster-paced collage type.

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Extra info for Statistics: 1,001 Practice Problems For Dummies (+ Free Online Practice)

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In fact, even the AS clause providing the name for the new column could be omitted; an automatically generated (but not very meaningful) name would appear instead. The result, whether created in a DATA step or by PROC SQL, looks like Exhibit 2-3. 6 Aggregation We often need to derive summary statistics from our data. SAS provides a variety of methods for doing this. One of the most versatile is PROC SUMMARY. SQL does not have nearly the extent of functionality provided by a specialized tool like PROC SUMMARY, but it is an alternative for a lot of relatively simple tasks.

40 PROC SQL by Example: Using SQL within SAS Exhibit 3-3 SORTED FName Age Alice 13 Barbara 13 Jeffrey 13 Alfred 14 Carol 14 Henry 14 Judy 14 Janet 15 Mary 15 Ronald 15 William 15 Philip 16 Then we combine the original data with the counts, via a MERGE statement: DATA detail_and_counts; MERGE sorted cohorts; BY age; RUN; We now have all of the data together, but the names are grouped by AGE and thus not in alphabetical order, as we see in Exhibit 3-4. Chapter 3: More Building Blocks 41 Exhibit 3-4 DETAIL_AND_COUNTS (before sorting) FName Age Many Alice 13 3 Barbara 13 3 Jeffrey 13 3 Alfred 14 4 Carol 14 4 Henry 14 4 Judy 14 4 Janet 15 4 Mary 15 4 Ronald 15 4 William 15 4 Philip 16 1 So we sort again to restore the original alphabetical order: PROC SORT DATA=detail_and_counts; BY fname; run; Exhibit 3-5 reflects the result.

So, for example, we could compute, from TEENS, how large each age cohort is (that is, how many rows have AGE=13, how many have AGE=14, and so on). But such a summary table has one row for each value of AGE; in other words, it contains only the summary data. What if we need a row for each NAME, containing a combination of the data in the TEENS table and the cohort sizes? For example, we want to see a row for Barbara showing her name, her age (13), and the total number of 13-year-olds (3). Chapter 3: More Building Blocks 39 Avoiding (for now) SQL, we could begin by calling on PROC FREQ to get the cohort sizes.

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Statistics: 1,001 Practice Problems For Dummies (+ Free Online Practice) by Consumer Dummies

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