Mathematics and Computer Sciences Department. o Work Experience, General. o Open Entry/Exit. Distance (Hybrid Online) for online supported courses

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1 SECTION A - Curse Infrmatin 1. Curse ID: 2. Curse Title: 3. Divisin: 4. Department: 5. Subject: 6. Shrt Curse Title: 7. Effective Term:: MATH 110H Elementary Statistics - Hnrs Natural Sciences Divisin Mathematics and Cmputer Sciences Department Mathematics Elementary Statistics-Hn Summer 2009 SECTION B - Official Curse Infrmatin 1. Recmmended Class Size: a. Maximum Class Size: 20 b. Class Size Apprval Date: 2. Methd f Instructin: þ Lecture Labratry Lecture and Labratry Wrk Experience, Occupatinal Wrk Experience, General Open Entry/Exit Independent Studies Distance Learning (Distance Educatin Delayed) fr nline curses. Distance (Hybrid Online) fr nline supprted curses 3. Cntact Hurs fr a Term: Nte: If nt a variable unit/hur curse, enter the hurs in the "Lw" clumn nly. Leave the hurs in the "High" clumn blank. Lw High Lecture: T Lab: T Lab/Lecture Parity? Yes þ N Activity: T Clinical: T Ttal Hurs 54 T 4. Credit Units: 3.00 T 1 Unit f credit per eighteen (18) hurs f lecture cntact hurs fr a term 1 Unit f credit per fifty-fur (54) hurs f lab, activity r clinical cntact hurs fr a term 5. Taxnmy f Prgrams (TOPS) Infrmatin: a. TOPS Cde and Curse Prgram Title: Page 1 f 5

2 Mathematics, General b. Curse Cntrl Number: (T be entered by the Instructin Office Only.) 6. SAM Pririty Cde:(Select One) Apprenticeship Curses ffered t apprentices nly. Advanced Occupatinal Curses taken in the advanced stages f an ccupatinal prgram. Each B level curse must have a C level prerequisite in the same prgram area. Clearly Occupatinal Curses taken in the middle stages f an ccupatinal prgram. Shuld prvide the student with entry-level jb skills. Pssibly Occupatinal Curses taken in the beginning stages f an ccupatinal prgram. þ Nn-Occupatinal 7. Please place this curse int the apprpriate discipline by selecting frm the drp dwn list. The discipline placement indicates what preparatin is needed t teach the curse. Discipline faculty may place their curses int mre than ne discipline as apprpriate: Mathematics 8. General Curse Infrmatin a. Curse Credit Status: b. State Transfer Cde: c. State Classificatin Cde: d. Basic Skills Status/Level: e. Sprts/Physical Educatin Curse: D Credit Degree Applicable A Transferable, UC/CSU/Private A Liberal Arts/Sciences Degrees N Nt a Basic Skills Curse Yes ( Only check here if the curse is a physical educatin curse.) f. Grading Methd: g. Number f repeats allwed: Letter Grade Only Nn-repeatable Credit (equates t 0 repeats) h. Overlap/Duplicate Curse: 9. Curse Preparatin: Nte: If this curse has a new requisite, a cntent review supplemental frm must be cmpleted. þ Prerequisite (MATH 71 r MATH 71X r MATH 71B r qualifying passing scre n current department placement test) AND acceptance int the Hnrs Prgram. Page 2 f 5

3 Crequisite Advisry Nne 10. Curse Special Designatrs 11. Curse Prgram Status þ Prgram Applicable Stand-alne 12. Funding Agency Categry: þ Nt Applicable Primarily develped using ecnmic develpment funds Partially develped using ecnmic develpment funds SECTION C - Transfer Status Baccalaureate Status is granted by the Educatinal Design General Educatin and Baccalaureate Level Subcmmittee. þ CSU Transferable Apprval Date: þ UC Transferable SECTION D - General Educatin Request Mt. San Antni Cllege and CSU General Educatin curse apprval are submitted t the Educatinal Design GE and BL Subcmmittee fr apprval. 1. The Articulatin Officer submits the curse directly t the CSU Chancellr fr apprval. 2. Upn receiving apprval, the curse is apprved fr the Mt. SAC Assciate Degree GE and placed in the area(s) CSU apprval indicate(s). þ Yes N Apprved fr inclusin n Mt. SAC and CSU General Educatin List? 1. Mt SAC General Educatin Applicability: AAM1 - Mathematics Cmpetency ASM1 - Mathematics Cmpetency 2. CSU General Educatin Applicability (Requires CSU apprval): CSB4 - Mathematics 3. IGETC Applicability (Requires CSU/UC apprval): IG2 - Mathematical Cncepts and Quantitative Reasning Page 3 f 5

4 SECTION E - Curse Cntent 1. Curse Descriptins a. Catalg Descriptin Emphasis is placed n the understanding f statistical methds. Descriptive analysis f sample statistics, distributin f discrete and cntinuus randm variables, estimatin thery, tests f hyptheses, regressin, crrelatin and analysis f variance. An hnrs curse designed t prvide an enriched experience. Students may nt receive credit fr bth MATH 110 and MATH 110H. b. Class Schedule Descriptin: þ Yes N Is a curse descriptin t be printed in the Class Schedule? Hnrs curse prviding an enriched experience in elementary statistics. May nt receive credit fr bth MATH 110 and MATH 110H. 2. Curse Outline Infrmatin a. Lecture Tpical Outline: - Nature f statistics/descriptive statistics: a. data analysis f small and large samples (single variable), b. measures f central tendency, dispersin and psitin; frequency distributins and representative graphs. - Intrductin t prbability: nature f prbability, experiments, sample space, events, cmpund events, cunting techniques, cnditinal prbability. Prbability distributins: a. discrete randm variable, using the Binmial as primary example, b. cntinuus randm variable, using the Nrmal as primary example, c. Nrmal apprximatin t the Binmial. Sample thery - the Central Limit Therem. - Statistical inference: a. nature f hypthesis testing, b. nature f estimatin, c. specific inferences studied: single and tw ppulatins: mean, variance and prprtins (tw ppulatin prprtins ptinal), d. applicatins f Chi-square, gdness f fit and cntingency tables, e. linear crrelatin and regressin (bivariate data.) - Intrductin t analysis f variance - Nn-parametric tests and cntrl charts (ptinal)/review - Final exam This hnrs curse will be enhanced by requiring each student t cmplete a semester-lng prject that invlves the analysis and the gathering f real-wrld sample data. b. Lab Tpical Outline: 3. Curse Measurable Objectives: 1. Define basic statistical terms and ntatin. 2. Describe the prper methds in the cllectin, classificatin and presentatin f quantitative data. 3. Explain the basic cncepts f prbability thery and calculate prbabilities. 4. Select the apprpriate statistical methds fr any applicatin cvered. 5. Emply the principles f inferential statistics in the areas f estimatin and hypthesis testing. 6. Utilize statistical techniques with a variety f applicatins that pertain t business, the scial, natural and physical sciences. 7. Utilize cmputer technlgy t aide in the slutin f statistical analyses. 8. Integrate prblem slving and analysis skills utilizing real-wrld sample data. Page 4 f 5

5 4. Curse Methds f Evaluatin: Categry 1. Substantial written assignments fr this curse include: This hnrs curse is distinguished frm a regular statistics curse by requiring each student t cmplete a semester-lng prject that invlves gathering and analyzing sample data. Students generally make tw bservatins frm sample members and make a hypthesis regarding a pssible relatinship between the variables represented If the curse by is degree thse bservatins. applicable, substantial Students use written their assignments sample data in t this cmpute curse statistics are inapprpriate and margins because: f errr as they estimate ppulatin parameters, then they use statistical inference t test their hyptheses. Once this is cmplete they write a ten page paper which summarizes their data gathering prcesses, surces f errr and bias, hyptheses, statistics, test results, and cnclusins. Categry 2. Cmputatinal r nn-cmputatinal prblem slving demnstratins: Describe data Slve prblems Analyze and interpret data Calculate prbabilities, margins f errr, and critical values Test claims Categry 3. Skills Demnstratins: Slutins t critical thinking and prblem slving. Interpreting results, describing, explring, and cmparing data. Field wrk t gather data used in class prject. Categry 4. Objective Examinatins: Calculatins Cmpletin Shrt Answer Prblem slutins in which the wrk is graded, as well as the final answer. 5. Sample Assignments: Sample assignments: Cntain symblic language. See hard cpy n file. 6. Representative Text: Bk 1: Authr: Title: Publisher: Date f Publicatin: Editin: Sctt Guth Elementary Statistics - Managing Variability and Errr 1.3 Page 5 f 5