000 04434cam a2200541Ki 4500
001 9780429491900
003 FlBoTFG
005 20220509192922.0
006 m o d
007 cr cnu---unuuu
008 201216s2020 flua o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429959295
_q(electronic bk.)
020 _a042995929X
_q(electronic bk.)
020 _a9780429959301
_q(PDF ebook)
020 _a0429959303
020 _a9780429959288
_q(Mobipocket ebook)
020 _a0429959281
020 _a9780429491900
_q(ebook)
020 _a0429491905
020 _z9781138589094
020 _z1138589098
020 _z9781138589025
020 _z1138589020
024 7 _a10.1201/9780429491900
_2doi
035 _a(OCoLC)1227045929
_z(OCoLC)1222797562
_z(OCoLC)1222799678
035 _a(OCoLC-P)1227045929
050 4 _aQA276.45.S27
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aREF
_x000000
_2bisacsh
072 7 _aPBT
_2bicssc
082 0 4 _a519.50285513
_223
100 1 _aGoad, Carla L.,
_eauthor.
245 1 0 _aSAS programming for elementary statistics :
_bgetting started /
_cCarla L. Goad.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2020.
300 _a1 online resource (1 volume) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _a<P>1. Introduction to SAS Programming Environment <BR>2. DATA Step Information 1<BR>3. Summarizing Data Basics<BR>4. DATA Step Information -- 2<BR>5. Beginning Charts<BR>6. One and Two Population Hypothesis Tests about the Means<BR>7. One-way ANOVA Methods, Non-Parametric Methods and Ranking Data<BR>8. Data Step Information 3 -- Reading Data Files & Labeling Variables<BR>9. Frequency Analysis<BR>10. Summarizing a Data Table in a Formal Report<BR>11. Regression and Correlation Analysis<BR>12. SAS Libraries and Permanent SAS Data Sets<BR>13. DATA Step Information 4 -- SAS Probability Functions<BR>14. Reading and Writing Data Files<BR>15. DATA Step Information 5 -- DO Loops, Arrays, and Random Number Generation<BR>16. Statistical Graphics Procedures<BR>17. SAS/GRAPH Procedures<BR>18. Formatting Responses<BR>19. Output Delivery System (ODS)<BR>20. Miscellaneous Topics</P>
520 _aSAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. It is also an excellent programming supplement for an introductory statistics course. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. These lessons are those the author has found successful in the classroom. Strengths of this book include the following: Examples are easy to follow and understand. Chapters have user-friendly text and objectives. Each chapter has clear objectives with SAS syntax and output results given. Objectives are stated as tasks with detailed step-by-step instructions. Programming notes based on the author's experience occur throughout the book. The author assists the reader in making sense of the error messages in the SAS log. Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures. Easy transition from user terminology to SAS terminology is provided. The ability to select or suppress results using Output Delivery System (ODS) is made simple. Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks. Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMathematical statistics
_xData processing.
650 0 _aSAS (Computer program language)
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
650 7 _aREFERENCE / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429491900
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c126528
_d126528