SAINT LOUIS UNIVERSITY 1818 Advanced College Credit Program 1818.slu.edu SLU Course Name: MATH 1300 – ELEMENTARY STATISTICS High School: Grand Center Arts Academy GCAA Course Name: Elementary Statistics w/ Computers Course Syllabus Fall 2015 - Spring 2016 Instructor: Mr. Matthew Naes Contact Information: GCAA Phone, 314- 533-1791 E-mail address: matt.naes@ grandcenterartsacademy.org Course Desription: Prerequisite: College Algebra (Math 1200 or its equivalent). Data production and analysis; probability basics, distributions; sampling, estimation with confidence intervals, hypothesis testing, t-test; correlation and regression; cross tabulations and chi-square. Students learn to use a statistical package such as SPSS. This is a full year course at GCAA. Students will register at SLU during the spring semester. General Objectives: To develop logical, critical, analytical, objective, and positive methods of reasoning and thinking. To develop learning and study skills that can be used in the future. To acquire math knowledge necessary for studying statistics in high school and post-secondary level. Textbook: Elementary Statistics, A Step by Step Approach by Allan G. Bluman , seventh edition Required Materials: Binder You must keep a 3-ring (1 ½ in or larger) binder with labeled dividers. Binders will be collected and graded on test days. You should ONLY use this binder for Statistics. Your grade will be based on organization and completeness. Titles should be highlighted and sections should include the following: Bellwork in order by date Journal Entries Handouts/notes in order by date Assignments in order by date Tests/Quizzes in order by date Supplies (Bring to Class Daily) Students will need the following for class everyday: Textbook Binder (1) one-and-a-half-inch binders, Pen/Pencil 5 dividers to be put into your binder Hole reinforcements Graph Paper: 4x4 Quad Ruled (recommended with binder holes) Calculator – Scientific Class Procedures: Homework/Classwork: All assignments must be completed neatly. 2. All assignments must be labeled in the following format. (student’s name) Statistics Excel 6 October 2009 (Example) 4.5 p. 235-236 1-60 all (Example) Late work is not accepted. If you’ve been absent, you are responsible for finding (and completing) the work that you missed. Please check naesgcaa.weebly.com for assignments. All assignments must remain in your binder in order to receive credit. Journal Entries: To encourage literacy across all disciplines, the math department will require the students to read sections of the text. Ever section the student reads they will have 1 of 2 writing assignments. 1) Write on one area of the text that you understand and can explain to another student. 2) Write down two questions you have about the text. When you come in to class, write the question on the board. If the topic is on the board, then put a check mark by it. This will let the teacher know how many students have similar questions. Test and Quizzes: The section or chapter test may be given. Short quiz may be given weekly. Computer use: The statistics classroom will be equipped with computers that we will be using to run Microsoft Excel and at some point “R” software. There may be a few trips to the SLU Campus for the students to have exposure to SPSS. The course will be building software skills that are highly sought after by many different disciplines. Attendance Policy and Tardiness: The students are expected to attend classes on regular basis. Tardiness is strongly discouraged according to the GCAA Policy. Following the requirements with SLU if a student is absent 6 times during a semester, this could be grounds for automatic failure. Grading System: 1. Letter Grades: A = 90-100 %, B = 80-89, C = 70-79 %, D = 60-69 %, F = 0-59 % Semester grade will be determined approximately as follows: Homework 10% Formative Assessments (quizzes) 30% Summative Assessments (Tests, Research Paper) 60% Final grade will be determined as follow: First Semester grade 50% Second Semester grade 50% Semester exams built into summative assessments, 20% of the semester grade Classroom Expectations: Be in your seat when class begins. See the handout in the tardy policy for the consequences of tardiness. I expect you to do honest work. Cheating will result in a zero on the assignment, quiz, or test, a phone call home, and a note in your file. Using a calculator when you have been told otherwise is considered to be cheating. Assignments must be legible, handed in on time, and will not be accepted late. All assignments must be labeled with your name, the section number, the page number(s), and the problems assigned. You should also skip a space between problems and most assignments must be done on a separate sheet. If you have an excused absence, you will have extended time to make up missed work or test. Pay attention in class, cooperate, participate, work hard, and study for test. If you are a discipline problem, first you will receive a warning. The second time, I will call your parents. Continuing to disrupt class could result in removal from class for the period or after school or lunch detentions. Furthermore, class time given to work on assignments must be used productively. If you finish your work, quiz, or test early, you should start in the next assignment, or find something quiet to do so that you are not disturbing others. Talking during a quiz will immediately result in a zero on your quiz. If you talk during a test, will take 5 points off your test each time. Come to class prepared with all materials-paper, pen, pencil, calculator, books, etc. Treat me, other students, and school property with respect. If you damage or lose your book, your fees will be assessed at the end of the year. We will need to work well together to have a productive year. Please keep your area clean. We will be following the cell phone policy the school has set up for the classrooms. Please-if possible, no bathroom trips during the class and absolutely no locker trips. It is expected that you will take care of this between periods. Schedule: Week 1 1 1 2 2 2 3 3 4 1–1 Descriptive and Inferential Statistics 3 1–2 Variables and Types of Data 6 1–3 Data Collection and Sampling Techniques 9 1–4 Observational and Experimental Studies 13 1–5 Uses and Misuses of Statistics 16 1–6 Computers and Calculators 19 2–1 Organizing Data 37 2–2 Histograms, Frequency Polygons,and Ogives 51 2–3 Other Types of Graphs 68 5 Test on Chapter 1 and 2 6 6 6 7 7 8 3–1 Measures of Central Tendecy 105 3–2 Measures of Variation 123 3–3 Measures of Position 142 3–4 Exploratory Data Analysis 162 10–1 Scatter Plots and Correlation 535 10–2 Regression 551 9 Test on Chapter 3 and 10.1,2 10 10 10 11 11 12 12 13 4–1 Sample Spaces and Probability 183 4–2 The Addition Rules for Probability 199 4–3 The Multiplication Rules and Conditional Probability 211 4–4 Counting Rules 224 4–5 Probability and Counting Rules 237 5–1 Probability Distributions 253 5–2 Mean, Variance, Standard Deviation, and Expectation 259 5–3 The Binomial Distribution 270 14 Test on Chapter 4 and 5 15 15 16 16 6–1 Normal Distributions 302 6–2 Applications of the Normal Distributions 316 6–3 The Central Limit Theorem 331 6–4 The Normal Approximation to the Binomial Distributions 340 17-18 Prepare and take Midterms 19 20 21 22 7–1 Confidence Intervals for the Mean When s Is Known and Sample Size 357 7–2 Confidence Intervals for the Mean When s Is Unknown 370 7–3 Confidence Intervals and Sample Size for Proportions 377 7–4 Confidence Intervals for Variances and Standard Deviations 385 23 Test on Chapter 7 24 25 26 27 28 29 8–1 Steps in Hypothesis Testing—Traditional Method 401 8–2 z Test for a Mean 413 8–3 t Test for a Mean 427 8–4 z Test for a Proportion 437 8–5 x2 Test for a Variance or Standard Deviation 445 Test on Chapter 8 30 31 32 33 34 9–1 Testing the Difference Between Two Means: Using the z Test 473 9–2 Testing the Difference Between Two Means of Independent Samples: Using the t Test 484 9–3 Testing the Difference Between Two Means: Dependent Samples 491 9–4 Testing the Difference Between Proportions 503 9–5 Testing the Difference Between Two Variances 512 35 11–1 Test for Goodness of Fit 591 36 Final Exam