Fond du Lac Tribal & Community College 2101 14th Street Cloquet, Minnesota 55720 Office: W217 Phone: 218-879-0840 Email: ted@fdltcc.edu Fall 2025 Class Schedule: 8:00 - 8:50am _T_Th_ Office Hours W217 9:00 - 10:15am _T_Th_ Statistics 228 10:30 - 11:20am _T_Th_ Statistics Prep 228 11:30 - 12:20pm _T_Th_ Office Hours W217 12:30 - 1:45pm _T_Th_ College Algebra 228 2:00 - 2:50pm _T_Th_ College Algebra 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.
Tue aug26 1 1.1 Basic Definitions and Concepts, 1.2 Overview, 1.3 Presentation of data H1 Thu aug28 2 2 1. descriptive statistics,displaying data 2.2 central position Tue sep02 3 2.3 variance 2.4 relative position Thu sep04 4 2.5 STD DEV and Chebyshev's theorem Tue sep09 5 Sample Test 1 and review Thu sep11 6 T1 Tue sep16 7 3.1 sample spaces 3.2 set theory Thu sep18 8 3.3 conditional probability Lets Make a Deal Tue sep23 9 Counting, permutations, and combinations Thu sep25 10 4.1 discrete random variables 4.2 probability distributions Tue sep30 11 4.3 binomial distr Thu oct02 12 Sample T2 and Review Tue oct07 13 T2 Thu oct09 14 5.1 continuous random variables Tue oct14 15 5.2 standard normal distr 5.3 computation: using std normal distr Thu oct16 NC No Classes Tue oct21 16 5.4 tails of distr Thu oct23 17 T3 review Tue oct28 18 T3 Thu oct30 19 6.1 mean and std dev of the sample mean 6.2 sampling distr of sample mean Tue nov04 20 7.1 large sample estimation Thu nov06 21 7.2 small sample estimation Tue nov11 NC No Classes Thu nov13 23 7.3 estimation of sample proportion Tue nov18 24 7.4 sample size considerations Thu nov20 25 T4 Review Tue nov25 26 T4 Thu nov27 NC No Classes Tue dec02 27 8.1 hypotheses testing Thu dec04 28 8.2 large sample test for population mean Tue dec09 28 8.3 significance of a test Thu dec11 29 final exam review: Tue dec16 T1 Math 1030 9:00am - 10:50am room 228 Math 1010 11:00am - 12:50pm room 228 Wed dec17 T2 Thu dec18 T3 Fri dec19 T4