Fond du Lac Tribal & Community College 2101 14th Street Cloquet, Minnesota 55720 Office: W217 Phone: 218-879-0840 Email: ted@fdltcc.edu Spring 2025 Class Schedule: Time Days Room Course 9:00-10:15 M_W__ 228 Math 1030 10:30-11:20 M_W__ 228 Math 0025 12:30- 1:45 M_W__ 227 Csci 1020 2:00- 3:15 M_W__ 228 Math 1010 asynchronous Zoom Math 2001 Office Hours in Room W217 and Zoom: Monday Tuesday Wednesday Thursday Friday 11:30-12:20 8-11 11:30-12:20 -------- ------Introductory 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
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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 jan13 1 1.1 Basic Definitions and Concepts,
1.2 Overview,
1.3 Presentation of data
H1 (D2L)
Wed jan15 2 2 1. descriptive statistics,displaying data
2.2 central position
H2 (D2L)
Mon jan20 H
Wed jan22 3 2.3 variance
Mon jan27 4 2.4 relative position
Wed jan29 5 2.5 STD DEV and Chebyshev's theorem
Mon feb03 6 Sample Test 1 and review
Wed feb05 7 T1
Mon feb10 8 3.1 sample spaces
3.2 set theory
Wed feb12 9 3.3 conditional probability
Lets Make a Deal
Mon feb17 H
Wed feb19 10 Counting, permutations, and combinations
Mon feb24 11 4.1 discrete random variables
4.2 probability distributions
Wed feb26 12 4.3 binomial distr
Mon mar03 13 Sample T2 and Review
Wed mar05 14 T2
Spring Break
Mon mar17 15 5.1 continuous random variables
Wed mar19 16 5.2 standard normal distr
5.3 computation: using std normal distr
Mon mar24 17 5.4 tails of distr
Wed mar26 18 T3
Mon mar31 19 6.1 mean and std dev of the sample mean
6.2 sampling distr of sample mean
Wed apr02 20 7.1 large sample estimation
Mon apr07 21 7.2 small sample estimation
Wed apr09 22 7.3 estimation of sample proportion
Mon apr14 23 7.4 sample size considerations
Wed apr16 24 Test 4 Review
Mon apr21 25 T4
Wed apr23 26 8.1 hypotheses testing
Mon apr28 27 8.2 large sample test for population mean
Wed apr30 28 8.3 significance of a test
Mon may05 29 Final Exam Review
Wed may07 T1 9-10:50 room 228 Math1030 (11-12:50 room 227 Csci1020)
Thu may08 T2
Fri may09 NC
Mon may12 T3
Tue may13 T4 (12-1:50 room 228 Math1010)