4-15. Finish Specimen paper ... Unit Circle Quiz

4-13. Specimen Paper pages 8-13 due on Thursday.

4-9. Work on 2008 Specimen Paper. I expect the entire packet to be be complete on Tuesday April 13th.

3-23. In statistical hypothesis testing, the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. The fact that p-values are based on this assumption is crucial to their correct interpretation.

The lower the p-value, the less likely the result, assuming the null hypothesis, the more "significant" the result, in the sense of statistical significance. One often rejects a null hypothesis if the p-value is less than 0.05 or 0.01, corresponding to a 5% or 1% chance respectively of an outcome at least that extreme, given the null hypothesis.

3-13. May 09 P2 (MS)

3-11. May09 P1 MS

3-9. Vectors (MS)

3-5. Exponents and Logarithms (MS)

3-3. Demoivre's - Complex Numbers - Roots (MS)

3-1. Papers Overview , IB Graphing Problems (MS)

2-17, 19, 23, 25. Type I Internal Assessment (tips)

2-9. Fibonacci problem

2-5. More IB Induction (MS)

2-3. IB Induction Problems (MS)

2-1. More induction. PG 435: 1 c, i, j, o, q.

Forming Conjectures.

1. Plotting points, determining an equation and proving that it holds for all values (EX 12.11).
2. Method of Differences. Create a differences array and keep adding rows until all the differences are equal. Follow example PG 438.
3. Problems. PG 439: 1 a, c, e, g, 2 i, iii, iv.

1-28. Mathematical Induction. This is a method of proving formulas. Like falling dominos, for each expression to be true, the expression before it must also be true. Steps:

1. The first expression must be true (n = 1) Assume that a general expression is true. (n = k) Prove that the next expression is true (n = k + 1)
2. If all true, then the formula is true.

HW. PG 430: 1e, f, h. PG 432: 1c, d, g, i

1-26. Paper 1: Sample C (no calculator)

1-19. Chi-squared Review Problems (MS)

1-15. Chi-squared.Goodness of Fit when parameters are known or not known (when not known subtract 2 to find the degrees of freedom). If it is a normal distribution subtract 3 (mean and variance). PG 599: 5, 6, 9, 13.

Contigency tables. Are two or more attributes independent? PG 610: 3, 5, 7, 10.

1-13. Paper 1, Test Corrections, and PG 598: 2, 10.

1-11. Work on Final Exam corrections. Solve the following Paper 1 (Nov07) MS.

12-11 Stats Option Summary , Stats Core Summary

12-9. HW. First 4 pages of Options Review ... Odd problems.

12-7. Paired samples, p-value and the Ti-84. Sig Tests and Confidence Interval IB problems

Stats Core Review ........... Stats Option Review (MS)

12-3. T-test and Errors (type I and II)

11-27. Significance Testing

11-23. Confidence Intervals

11-19. Central Limit Theorem

11-17. Sample Mean

11-13. Random Normal Variables

11-11. Normal Distributions work (2). Pg 394: 1, 4, 7, 14, 15. QUIZ on Tuesday.

11-9. More Normal Distribution work. Pg 389: 9-15 odd. Pg 394: 2, 5, 6, 8, 11.

11-5. Normal Distribution

11-3. Quiz Review Problems. Pg 365; 2, 3, 6, 7, 14, 17. Look at the conditional probability example on pg 356 (What we stated in class was not correct)

10-30. More Continuous Distributions.

10-27. Continuous Distribution work. Pg 335: 9, 12. Pg 342: 8, 10-12, 18.

10-7. Poisson Distribution.

10-5. Geometric Distribution

9-29. Celebration on Thursday ... Conditional Probability, Expectation Algebra and Discrete Distributions. Review sheet only covers conditional probability and binominal distributions (MS). Also look to text books for Expectation Algebra and Discrete Random Variable work (green pg 256, blue pg 214).

9-23. Review Day. PG 279: 4, 6, 12.

9-21. Binomial Distribution

9-17. Expectation Algebra with Two Random Variables

9-15. Expectation Algebra

9-11. Discrete Random Variables: Expectation. You are starting your own casino and you want to include a trademark game. For instance, Sup's Sauce. Your task is to design your own game and determine how much money you will make per trial of each player.

9-7. Combinatorics Review Problems (MS) The quiz will focus on all probability problems we have done before conditional probability. If you are using the green book, explore problems that deal with combinations, permutations, selecting with and without replacement, indendence. The buld of conditional probability will be assessed at a later date.

9-3. Conditional Probability

9-1. Combinatorics

8-28. Probability: Independence, tree diagrams, combinatorics

8-24.  Probability Introduction

8-20. Summary Statistics

8-18. Types of Data and Charts