Fond du Lac Tribal & Community College 2101 14th Street Cloquet, Minnesota 55720 Office: W217 Phone: 218-879-0840 Email: ted@fdltcc.edu Fall 2024 Class Schedule: 9:00 -10:20am M_W__ Office Hours W217 10:30 -11:45am M_W__ College Algebra 228 12:30 - 1:45pm M_W__ Statistics 228 2:00 - 2:50pm M_W__ Statistics Prep 228Introductory Statistics Online:Creative Commons Local PDF Local HTML
You should not print out the textbook. It will not disappear. You can download the PDF for viewing on your own machine if this is handy for you. You will probably read some sections more carefully than others. Sections are referenced in the tentative scheule as needed.
Statistics textbooks vary in details; you will note differences if you look through other texts and references. We will use the conventions in this textbook. One weakness of this textbook is that the tables are difficult to use and, notably, difficult to print out in readable form. Here are some common tables in better form:
Standard Normal, Binomial, and T Tables
You may have a calculator already, but make sure that it is a scientific calculator which has the needed statistical functions. The TI graphing 83+, 84, 85, and 86 models are capable.
If you need to buy a calculator, I recommend the calculator TI-30XS Multiview. This does what you need for under $20. Fancier calculators may be more difficult to use. The bookstore sells the TI-30XS Multiview for under $20 .
Keep your calculator handy! You must have it for homework, exams, and in-class work.
However, here are some online calculators you may find helpful:
Basic Statistics and Standard Normal Distribution Calculators
Show your work on homeworks and exams! That is what I'm looking for, not just lists of answers--though of course correct answers are important.
4 tests 4x100 = 400 1 final 200 20 homework 5x20 = 100 ----------------------- 700 total 90-100% A 80-90% B 70-80% C 60-70% D 0-60% F
This course addresses FDLTCC liberal education requirements (Competencies Across the Curriculum) in problem solving and technology. You should attend class everyday! This is the easy way to do well in any course, and it is especially true for math classes. There are exercises in the text for you to do, and these are usually answered at the end of each chapter. You will also get homework assignments on handouts, and you should complete then hand these in at the beginning of the next class. You homework grade is based on completing and turning in these homework handouts. You will also get sample exams which will be similar in length and content to the in-class exams. Let me know if there is are accommodations you need for the class.
A feature of statistics study is that one does not have to make up applications out of the blue. Applications abound! To be sure, our examples for studying statistics are somewhat contrived, for practical convenience. We do not need to handle 1,200,000 numbers when just 12 numbers will do. Theory, methods, and key steps are essentially identical for large and small sets. It just takes more labor handling large data sets.
Mon aug26 1 1.1 Basic Definitions and Concepts, 1.2 Overview, 1.3 Presentation of data H1, d1.pdf Wed aug28 2 2 1. descriptive statistics,displaying data 2.2 central position Mon sep02 H Holiday Wed sep04 3 2.3 variance Mon sep09 4 2.4 relative position Wed sep11 5 2.5 STD DEV and Chebyshev's theorem Mon sep16 6 Sample Test 1 and review Wed sep18 7 T1 Mon sep23 8 3.1 sample spaces 3.2 set theory Wed sep25 9 3.3 conditional probability Lets Make a Deal Mon sep30 10 Counting, permutations, and combinations Wed oct02 11 4.1 discrete random variables 4.2 probability distributions Mon oct07 12 4.3 binomial distr Wed oct09 13 Sample T2 and Review Mon oct14 14 T2 Wed oct16 15 5.1 continuous random variables Mon oct21 16 5.2 standard normal distr 5.3 computation: using std normal distr Wed oct23 17 5.4 tails of distr Mon oct29 18 T3 review Wed oct30 19 T3 Mon nov04 20 6.1 mean and std dev of the sample mean 6.2 sampling distr of sample mean Wed nov06 21 7.1 large sample estimation Mon nov11 H Mon nov13 22 7.2 small sample estimation Mon nov18 23 7.3 estimation of sample proportion Wed nov20 24 7.4 sample size considerations Mon nov25 25 T4 review Wed nov27 NC No Classes Mon dec02 26 T4 Wed dec04 27 8.1 hypotheses testing Mon dec09 28 8.2 large sample test for population mean Wed dec11 29 8.3 significance of a test Mon dec16 30 final exam review: Tue dec17 T1 Wed dec18 T2 math1030 11-12:50 room 228 Thu dec19 T3 Fri dec20 T4 (math1010 10-11:50 room 228), (math0025 12-1:50 room 228)