Flood Information and Assignments for Math 102:

Syllabus Addendum on Flooding Distributed in Class

Flooding this spring may disrupt normal class meetings. If so, the goal will be to complete essential topics in sufficient depth for students to be given credit for Math 102.

Missing less than one week will not create a serious problem. I have a priority list of topics we should cover and that can still be accomplished. If more than one week of classes is missed, students may need to study some topics on their own. To prepare for this possibility, I have added a link under my Math 102 menu titled “Assignments and Flood Information.” This is where I will inform you of sections you should study, problems you should work, and which worksheets or problems in the text you are responsible for completing. In addition, Dr. Peil prepared lectures of Math 102 material for use in an online version of this course. I have viewed some of them and they are very good. I have put links to these on my web page under “Assignments and Flood Information.” They should be viewed before attempting the worksheets. Indeed, you may wish to use these even if classes are not cancelled. Should classes be cancelled for more than one week, I may require worksheets to be completed and sent to me to be graded. Worksheets will be supplied in class before classes are cancelled or through my web page under “Assignments and Flood Information.” If you have a scanner, completed assignments can be submitted by email- otherwise mail them to

Jim Hatzenbuhler

Minnesota State University

11047^th Ave S

Moorhead, MN

56563

If classes are cancelled, I will also be available for consultations through email.

hatzenbu@mnstate

Online  Lectures by Dr. Peil

	3.3 Truth Tables - Conditional and Biconditional
	3.3 Ways of Stating a Conditional
	3.3 Define Converse, Inverse, & Contrapositive
3.1 Statements	3.3 Equivalence - Con., Inv. & Contra. (Method 1) (Method 2)
3.1 Connectives	3.3 More Converse, Inverse & Contrapositive Examples
3.1 More Samples with Connectives	3.3 Biconditional and Equivalence (Method 1) (Method 2)
3.1 Quantifiers	3.3 Implication Property (Method 1) (Method 2)
3.1 Negating Quantified Statements	3.3 Negation of Sufficient and Necessary
3.1 Consistency Between Quantified Statements
	3.4 Law of Detachment & Fallacy of Converse (Md1) (Md2)
3.2 Truth Tables - Negation, Conjunction, Disjunction	3.4 Law of Contraposition & Fallacy of Inverse (Md1) (Md2)
3.2 Constructing Truth Tables (Method 1) (Method 2)	3.4 Disjunctive Syllogism (Method 1) (Method 2)
3.2 Number of Cases for a Truth Table	3.4 Hypothetical Syllogism (Method 1) (Method 2)
3.2 Tautology & Contradiction (Method 1) (Method 2)	3.4 Truth Table for Complex Arguments (Method 1) (Method 2)
3.2 Equivalence - Distributive (Method 1) (Method 2)	3.4 T-Proof for an Argument
3.2 DeMorgan's Laws (Method 1) (Method2)	3.4 Another T-Proof for an Argument
	3.5 Syllogisms with Universal & Existential Quantifiers
Summary - "Real" Arguments	3.5 More Syllogisms with Universal & Existential Quantifiers

Chapter Thirteen Counting

13.1 Introduction to Counting Methods	13.3 Permutations
	13.3 Permutation Formulas
13.2 Fundamental Counting Principle	13.3 Permutations with Repetitions
13.2 Fundamental Counting Principle (More Examples)	13.3 Combinations
	13.3 Permutations and Combinations
	13.4 Poker
	13.4 Powerball

Chapter Fourteen Probability

14.1 Introduction and Basic Terms	14.3 Conditional Probability
14.1 Probability of an Outcome or Event (Emp. vs. Th.)	14.3 Conditional Probability (More Examples)
14.1 Basic Examples	14.3 Independent and Dependent Events
14.1 Counting and Probability Formulas	14.3 Intersection of Events
14.1 Five Card Poker Hands	14.3 Intersection of Events (More Examples)
14.1 Powerball	14.3 Tree Diagrams for Compound Probability
14.1 Odds with Equally Likely Outcomes
14.1 Probability Definition of Odds	14.4 Expected Value
14.1 Odds (More Examples)	14.4 Expected Value (More Examples)
	14.4 Powerball
14.2 Complement of an Event
14.2 Mutually Exclusive Events	14.5 Define Binomial Experiment
14.2 Union of Events	14.5 Probability for Binomial Experiments
14.2 Complement of the Union of Events	14.5 Probability for Binomial Experiments (More Examples)
	14.5 Number of Binomial Trials Expected Before a Success
Supplement	14.5. Derivation of Formula - Number of Binomial Trials for Success
Supplement	14.5 Binomial Probability, Binomial Theorem & Pascal's Triangle

Chapter Fifteen Descriptive Statistics

15.1 Surveys and Data Collection	15.3 Measures of Dispersion
15.1 Basic Definitions for Statistics	15.3 More Measures of Dispersion
15.1 Frequency and Relative Frequency Tables (7:20)	15.3 Coefficient of Variation
15.1 Bar Graphs and Histograms
15.1 Interpreting Histograms	15.4 Introduction to the Normal Curve (7:11)
15.1 Stem-and-Leaf Displays	15.4 Introduction to z-score
	15.4 More z-score Examples
15.2 What is "average"?	15.4 More z-score Applications
15.2 Advantages & Disadvantages of Types of Averages
15.2 Compute Mean, Median, Mode, and Midrange	15.5 Line of Best Fit - Motivation - Mile Run
15.2 Inferences Knowing Average and More Info (7:18)	15.5 Compute Line of Best Fit
15.2 Five-Number-Summary and Box-and Whisker	15.5 Compute Linear Correlation Coefficient
	15.5 Properties of the Linear Correlation Coefficient
	15.5 Summary Example - First Class Stamps