'Binomial' presentation slideshows

AP Statistics Jeopardy

AP Statistics Jeopardy. Basic Probability. Binomial Probability. Joint Probability. Conditional Probability. More Probability. Hodge Podge. 100. 100. 100. 100. 100. 100. 200. 200. 200. 200. 200. 200. 300. 300. 300. 300. 300. 300. 400. 400. 400. 400. 400. 400. 500.

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Special product as identities

731 views • 55 slides

Session 9b

Session 9b. Overview. Finance Simulation Models Securities Pricing Black-Scholes Electricity Option Miscellaneous Monte Carlo vs. Latin Hypercube Review of Binomial. Finance Example.

637 views • 49 slides

Chapter 5 Sampling Distributions

Chapter 5 Sampling Distributions 5.1 Sampling distributions for counts and proportions 5.2 Sampling distributions of a sample mean Chapter 5.1 Sampling distributions for counts and proportions Objectives Binomial distributions for sample counts

1.08k views • 38 slides

512 views • 33 slides

Mark recapture lecture 2: Jolly-Seber Confidence intervals And a wee note on bias

Mark recapture lecture 2: Jolly-Seber Confidence intervals And a wee note on bias . Jolly-Seber For an OPEN population Repeatedly sampled Information on when an individual was last marked. LPB Colony size. Year. Open populations.

567 views • 26 slides

BCOR 1020 Business Statistics

870 views • 22 slides

7.1 Reminder We remind here some facts about the distributions of discrete and continuous random variables.

Lecture 7. Markov Model with Matrixes. Introduction to HMM with the example of DNA analysis. Distributions. Probability density and cumulative distribution functions. Poisson and Normal distributions. Practice: Distributions with Mathematica.

525 views • 22 slides

4A: Probability Concepts and Binomial Probability Distributions

4A: Probability Concepts and Binomial Probability Distributions. Definitions. Random variable ? a numerical quantity that takes on different values depending on chance Population ? the set of all possible values for a random variable

469 views • 22 slides

04/16/13

Combinations and State Diagrams. 04/16/13. Discrete Structures (CS 173) Derek Hoiem, University of Illinois. HW 9 . Do not use the quadratic formula!.

317 views • 20 slides

Lesson 9 - 1

Lesson 9 - 1. Sampling Distributions. Knowledge Objectives. Compare and contrast parameter and statistic . Explain what is meant by sampling variability . Define the sampling distribution of a statistic . Define an unbiased statistic and an unbiased estimator .

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Chris Morgan, MATH G160 csmorgan@purdue.edu March 19 , 2011 Lecture 23

Chris Morgan, MATH G160 csmorgan@purdue.edu March 19 , 2011 Lecture 23. Chapter 7.3, 7.4, & 7.5: Point Estimation, Sampling Distribution of x-bar and p-bar . Sampling Distribution of.

775 views • 16 slides

Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers & Ye ~ Chapter 5 Notes

Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers & Ye ~ Chapter 5 Notes. Class notes for ISE 201 San Jose State University Industrial & Systems Engineering Dept. Steve Kennedy. Discrete Probability Distributions.

2.14k views • 15 slides

Multiply polynomials.

Objectives. Multiply polynomials. Use binomial expansion to expand binomial expressions that are raised to positive integer powers. To multiply a polynomial by a monomial, use the Distributive Property and the Properties of Exponents. Check It Out! Example 1. Find each product.

1.21k views • 14 slides

CHAPTER 6 Random Variables

CHAPTER 6 Random Variables. 6.3 Binomial and Geometric Random Variables. Binomial Settings.

499 views • 13 slides

Chapter 3, cont

303 views • 13 slides

HYPERGEOMETRIC DISTRIBUTION

615 views • 10 slides

Use the Binomial Theorem to expand a binomial raised to a power.

Objectives. Use the Binomial Theorem to expand a binomial raised to a power. Find binomial probabilities and test hypotheses. Vocabulary. Binomial Theorem binomial experiment binomial probability.

1.03k views • 9 slides

AP Statistics

AP Statistics.

202 views • 9 slides

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: E(cards til 2 nd king). Negative

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: E(cards til 2 nd king). Negative binomial. Rainbow flops examples, binomial and negative binomial. Gold/Farha and Bayes rule. P(2 pairs). Project B example Zelda. Midterm is Feb 21, in class. 50 min.

174 views • 5 slides