SYLLABUS
FALL, 2009 CHALMERS - ELEMENTARY STATISTICS
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| CLASS# 21836.
DAYS: MW TIME: 11:00 AM - 1:00 PM
ROOM: BE 4 UNITS: 4.0 INSTRUCTOR: Dr. GRAHAM CHALMERS OFFICE: SB28 HOURS: Aug. 17 to Dec. 10: MW 1:15 - 1:45 PM, TuTh 3:45 - 4:45 PM. TELEPHONE: 562-860-2451 ext 2696 Email: gchalmers@cerritos.edu TEXT: Triola, Elementary Statistics, 11th edition, Pearson. PREREQUISITE: Completion of Intermediate Algebra with a 'C' or better. Please note that in order to enroll, proof that prerequisites are satisfied must be submitted to Cerritos College in time for this information to be recorded. Your enrollment will be blocked if the prerequisites are not on the computer. GRADE: See general course information. |
| You may be required to access course information, such as homework assignments, etc., on-line. |
| COURSE OBJECTIVES: Introduction to descriptive and inferential statistics, and probability. This includes a Student Learning Outcome: Compute, identify, and interpret basic statistics and understand the distinction between a statistic and a parameter (measures of center, variation, and position). |
| CALCULATOR: A TI Graphing calculator is required. The TI-84Plus is strongly recommended. A TI-83Plus graphing calculator is acceptable. The TI-83 may not be able to handle certain problems. Demonstrations will be done with the TI-84Plus. (If you have a TI86 see me, and the TI-86 infstat manual.) |
| HOMEWORK & GROUPWORK: Plan to spend 8 or more hours per week outside of class for reading, and doing assignments and other problems. Read the textbook discussion on each topic, ideally before it is covered in class. Make sure all the examples done in the textbook are understood. Unless otherwise stated, from each section in the text, turn in every problem whose number ends in 3 or 5 from the "Basic Skills and Concepts" exercises only. It is recommended that you do all the odd numbers, for practice. Since the answers are in the back of the text, appropriate work must be shown to get credit. Groupwork (GW) will be assigned at the end of most classes. Groups are informal and may be changed or reformed. Additional work will be required if GW is not completed in class time. Late penalties apply if work is more than one class late. No work will be accepted more than four classes late or after Dec. 7, 2009. |
| HELP: Ask questions during the lecture. At the beginning of class you can ask questions about textbook problems and examples. It is a good idea to form study groups outside of class. See me in my office. (Hours above.) Enroll in AED 90.91 – Supervised Mathematics Tutoring, a class attended as needed. Go to the Academic Support Center, in the lower level of the east side of the Learning Resource Center (library building). |
| ENROLLMENT: Check My Cerritos for your enrollment status. Check daily for the first two weeks. I cannot override the decisions of the admissions office. I can submit adds Aug. 24 to Aug. 28, subject to admissions approval. Your enrollment will be blocked if the prerequisites are not on the computer, or if there is a time conflict or unit overload etc. Petitioners must give me a Cerritos ID number, and should also give me telephone and email contact information. Absence causes loss of place on wait list. Friday Nov. 20, 2009*, is the last day to withdraw from the class and receive a W. I cannot assign a W grade after that deadline. If you cease to attend, withdraw by using My Cerritos, telephone, or by going to Admissions and Records, to avoid getting an F. (*Date determined by admissions office - you must confirm with that office.) |
| The schedule below is approximate. DATES, TOPICS AND TESTS ARE SUBJECT TO CHANGE. Generally we will not cover "Beyond the Basics" topics. |
| MON. AUG. 17 Lecture on 1.1 - 1.5, 2.1. Introduction. Data. Critical thinking. Collecting data. Use of Calculator. Grouping data. GW#1: For data on p47 last six columns, do a stem & leaf plot. For data on p94 #8, find mean, median, mode & midrange. |
| WED. AUG. 19 Lecture on 2.1 - 2.5, 3.2 Frequency distributions. Histograms. Graphs. Pareto Charts. Central Tendency: Mean, Median, Mode, Midrange. |
| MON. AUG. 24 Lecture on 3.1 - 3.4 Central Tendency: Mean, Median, Mode. Variation/Dispersion: Range, Standard Deviation. Chebyshev's Theorem. Position. GW#2: p113 #30, use class midpoints to find variance and standard deviation using textbook formulas. You can check with the TI stats functions. |
| WED. AUG. 26 Lecture on 3.4, 3.5. Position. Percentiles. Data analysis. Boxplots. Lecture on 4.1 - 4.3. Introduction to Probability. Chapter One & Two HW due. Check My Cerritos for your enrollment status. GW#3: p128 #16, 28, (30). |
| MON. AUG. 31 Lecture on 4.1 - 4.7 Probability. Events. Sample spaces. Tree diagrams. Independent and Mutually Exclusive events. GW#4: p150 #28, p158 #28, 30, p169 #18. |
| WED. SEPT. 2 Lecture on 4.5 - 4.8. Conditional probability. Independent events. Tree diagrams. Bayes' Theorem. Combining rules of probability. Counting. Chapter 3 HW due. GW#5: p176 #18abc, p177 #24ab, p190 #20, 22. |
| MON. SEPT. 7 LABOR DAY HOLIDAY |
| WED. SEPT. 9 Lecture on 5.1 - 5.3. Random variables. Discrete random variables. Mean and Variance of a discrete probability distribution. Binomial distribution. Use of binompdf function on the TI. GW#6: p215 #10, p226 #30. |
| MON. SEPT. 14 Lecture on 5.1 - 5.4. Random variables. Discrete random variables. Mean and Variance of a discrete probability distribution. Binomial distribution. Use of binomcdf function on the TI. Chapter 4 HW due. GW#7: p226 #22, p233 #18ab and add (d) Find the probability that X is at least 135. (e) Find the probability that X is at most 135. (p217 #26.) |
| WED. SEPT. 16 Lecture on 6.1 - 6.3. Normal distribution. Review of 1.1 - 4.8. QUIZ ONE on 1.1 - 4.8. |
| MON. SEPT. 21 Lecture on 6.1 - 6.3. Normal distribution. GW#8: p273 #26ab. Due Wed. Sept. 23, 2009. |
| WED. SEPT. 23 Lecture on 6.1 - 6.3. Normal distribution. Review of 1.1 - 6.3. Some Sample Test One Problems. Solutions to Sample Test One Problems. Test One Fall, 2002. Solutions to Test One, Fall, 2002. Test One Summer, 2004, Solutions to Test One, Summer, 2004. Please note that the sample test is not the only thing to be studied in preparation for a test. Look at notes, quizzes, groupwork, homework and textbook examples, also. Chapter 5 HW due. |
| MON. SEPT. 28 TEST ONE 1.1 - 6.3. Please note that the sample test is not the only thing to be studied in preparation for a test. Review problems on both T1 & T2 samples that are covered on our test one. Test One EC can boost score on Test One. Due Oct. 14, but turn in early to see if work has to be redone. |
| WED. SEPT. 30 Lecture on 6.4 - 6.5. Normal distribution. Sampling distributions. Central Limit Theorem. Estimators. |
| MON.
OCT. 5 Lecture on 6.6 - 6.7 Use of binomcdf
function on TI. Normal approximation of the binomial.
Assessing normality. Note: an update is available for the TI-84 operating system that includes an inverse for the t-distribution, invT, if you don't already have it in your distributions menu. See Texas Instruments Calculators . Or download ticonnect_eng.exe and TI84Plus_OS.8Xu if you have a TI-84plus. I don't know if this can be put on the TI-83plus or not. Check the TI web site. |
| WED. OCT. 7 Makeup GW with problems like Quiz Two, due Oct. 12, 2009. Lecture on 7.1 - 7.4. Estimating population proportion, population mean. t-distribution. Chapter 6 HW due. |
| MON. OCT. 12 Lecture on 7.4 - 7.5. Estimating population mean, population variance. |
| WED. OCT. 14 Lecture on 8.1 - 8.3 Introduction to hypothesis testing. Testing a claim about a proportion. QUIZ TWO on 6.1 - 7.4. Quiz Two Sample. Quiz Two Sample Solutions. Test One EC due. |
| MON. OCT. 19 Lecture on 8.4 - 8.5. Hypothesis testing. Testing a claim about the mean. |
| WED. OCT. 21 Review of 6.1 - 7.5. Chapter 7 HW due. Test Two Fall 2006. Solutions to Fall 2006 Test Two. The previous item will be more like the upcoming Test Two. Old handouts: Some Sample Test Two Problems. Solutions to Sample Test Two Problems. Test Two Fall 2002 Solutions to Test Two, Fall, 2002. Test Two Summer 2004, Solutions to Test Two, Summer, 2004. Test Three Summer 2004 Solutions to Test Three, Summer, 2004. Chapter 7 HW due. Bring all sample test handouts. Please note that the sample test is not the only thing to be studied in preparation for a test. Look at notes, quizzes, groupwork, homework and textbook examples, also. |
| MON. OCT. 26 TEST TWO 6.1 - 7.5. Study the textbook examples for these sections, plus GW & HW, in addition to the sample tests for for both Test Two and Test Three. The old Test Three handout includes confidence interval problems that will be on our Test Two. |
| WED. OCT. 28 Lecture on 8.6. Hypothesis testing. Testing a claim about the standard deviation. Chi-Square distribution. Lecture on 9.2. Inferences about two proportions. . |
| MON. NOV. 2 Lecture on 9.3, 9.4. Inferences about two means. Chapter 8 HW due. |
| WED. NOV. 4 Lecture on 9.4, 9.5 Inferences about the difference of paired data. Inferences about two standard deviations. F-distribution. |
| MON. NOV. 9 Makeup test on combined material of tests one & two. Can replace one score from T1 or T2. Makeup score will not be used if it is lower than both of T1 & T2. Multiple choice. 28 problems. 882 E Scantron needed. Sample Makeup Exam. Answers to Makeup Sample. Note that problems 9, 10 & 11 will be replaced on our makeup, but could appear on the prefinal. Please note that the sample test is not the only thing to be studied in preparation for a test. Look at notes, quizzes, groupwork, homework and textbook examples, also. Chapter 9 HW due. |
| WED. NOV. 11 VETERANS DAY HOLIDAY |
| MON. NOV. 16 Lecture on 10.1 - 10.3 Introduction to Quantitative vs Quantitative bivariate data. Linear correlation/regression. Line of best fit. TI calculator use. |
| WED. NOV. 18 Lecture on 10.1 - 10.3 Quantitative vs Quantitative. bivariate data. Linear correlation/regression. Line of best fit. Formulas. SS(x), SS(xy), SS(y). TI calculator use. Lecture on 11.1 - 11.3. Chi-square distribution. Multinomial experiments. Contingency tables. |
| FRI. NOV. 20 Last day to withdraw with 'W'. If you do not plan to complete the course, withdraw using MyCerritos, or go to admissions to withdraw if you cannot do it by internet or telephone. |
| MON. NOV. 23 Lecture on 11.1 - 11.3. Chi-square distribution. Multinomial experiments. Contingency tables. QUIZ THREE on 8.1 - 10.3. Chapter 10 HW due. |
| WED. NOV. 25 Lecture on 12.1 - 12.2. Comparing means with three or more independent samples. Analysis of Variance. (ANOVA). Chapter 11 HW due. |
| MON. NOV. 30 Review of 8.3 - 12.2. Bring all sample test handouts. |
| WED. DEC. 2 TEST THREE 8.3 - 12.2. Some Sample Test Three Problems. Solutions to Sample Test Three Problems. Test Three Summer 2004 Solutions to Test Three, Summer, 2004. Correction to 2(b): t-critical = t(25, 1 - 0.05) = t(25, 0.95) = - 1.708140693. Note that test three includes linear regression, chi-square and ANOVA. See T1 sample, problem #4, T3 sample problem #2, 3, 6, 7, 8, 9, 10, final exam sample #10, 11. Please note that the sample test is not the only thing to be studied in preparation for a test. Look at notes, quizzes, groupwork, homework and textbook examples, also. Last day to turn in late work. Chapter 12 HW due. (Optional - can replace a missing or low HW score.) |
| MON. DEC. 7 Review of all topics in the course. Last day to turn in work. Some Sample Final Exam Problems. Solutions to Sample Final Exam Problems. Please note that the sample final is not the only thing to be studied in preparation. Look at notes, quizzes, groupwork, homework and textbook examples, also. Bring all sample test handouts. Partial Solutions to Test Three. |
| WED. DEC. 9 PREFINAL EXAM on 1.1 - 12.2. Emphasis on 8.1 - 12.2. Score can replace any score of those being averaged. Need 882E Scantron. Covers all sections. |
| MON. DEC. 14 FINAL EXAM 12:00 - 2:00 pm, in the classroom. Covers all sections. |
| WED. DEC. 16 No class. |