STARTER The probability that a particular page in a maths book has a misprint is 0.2. Find the probability that of 12 pages in the book: 4 of them have.

Slides:



Advertisements
Similar presentations
Normal Approximation of the Binomial Distribution.
Advertisements

Unit 18 Section 18C The Binomial Distribution. Example 1: If a coin is tossed 3 times, what is the probability of obtaining exactly 2 heads Solution:
How do I use normal distributions in finding probabilities?
MATH408: Probability & Statistics Summer 1999 WEEK 4 Dr. Srinivas R. Chakravarthy Professor of Mathematics and Statistics Kettering University (GMI Engineering.
Normal Approximation to Binomial Distribution Consider the binomial distribution with n trials, and probability of success is p This distribution is approximately.
Statistics Lecture 11.
Chapter 5 Probability Distributions
Lesson #13 The Binomial Distribution. If X follows a Binomial distribution, with parameters n and p, we use the notation X ~ B(n, p) p x (1-p) (n-x) f(x)
Mutually Exclusive: P(not A) = 1- P(A) Complement Rule: P(A and B) = 0 P(A or B) = P(A) + P(B) - P(A and B) General Addition Rule: Conditional Probability:
Normal and Sampling Distributions A normal distribution is uniquely determined by its mean, , and variance,  2 The random variable Z = (X-  /  is.
Binomial Distributions
The Binomial Distribution, Mean, and Standard Deviation IBHL/SL - Santowski.
8.1 Binomial Distribution
The Binomial Distribution
Using Normal Distribution to Approximate a Discrete Distribution.
Poisson Random Variable Provides model for data that represent the number of occurrences of a specified event in a given unit of time X represents the.
Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: 1.E(cards til 2 nd king). 2.Negative binomial. 3.Rainbow flops examples,
In-Class Exercise: Geometric and Negative Binomial Distributions
Binomial Distributions. Quality Control engineers use the concepts of binomial testing extensively in their examinations. An item, when tested, has only.
MATH 4030 – 4B CONTINUOUS RANDOM VARIABLES Density Function PDF and CDF Mean and Variance Uniform Distribution Normal Distribution.
Methodology Solving problems with known distributions 1.
The Binomial Distribution
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section Binomial Probability Formula.
Probability Distributions A farmer grows sweet corn and each year sets aside one row of sweet corn for his local school. The farmer gives to the.
Lecture 9 The Binomial Distribution Math 1107 Introduction to Statistics.
Normal Approximations to Binomial Distributions.  For a binomial distribution:  n = the number of independent trials  p = the probability of success.
6.2 BINOMIAL PROBABILITIES.  Features  Fixed number of trials (n)  Trials are independent and repeated under identical conditions  Each trial has.
Binomial Distributions Mean and Standard Deviation.
Chapter 4. Random Variables - 3
12.6 – Probability Distributions. Properties of Probability Distributions.
Chapter 5 Section 5-5. Chapter 5 Normal Probability Distributions Section 5-5 – Normal Approximations to Binomial Distributions 2.Correction for Continuity.
Normal approximation to Binomial Only applicable for: Large n P not to small or large ie near 0.5 X~N(np, npq) Find the probability of obtaining 5 heads.
Binomial Distributions Chapter 5.3 – Probability Distributions and Predictions Mathematics of Data Management (Nelson) MDM 4U Authors: Gary Greer (with.
THE NORMAL DISTRIBUTION Lesson 2. Starter: Find P (Z
12.1 Discrete Probability Distributions (Poisson Distribution)
7.4 and 7.5 Obj: Assess normality of a distribution and find the normal approximation to a binomial distribution.
The Poisson Distribution. The Poisson Distribution may be used as an approximation for a binomial distribution when n is large and p is small enough that.
rightor left based largely on probability of success (p)
Normal Approximation to the Binomial Distribution.
MATH 256 Probability and Random Processes Yrd. Doç. Dr. Didem Kivanc Tureli 14/10/2011Lecture 3 OKAN UNIVERSITY.
Section 6.2 Binomial Distribution
8.1 Binomial Distribution
The Recursive Property of the Binomial Distribution
9.7 MULTIPLYING POLYNOMIALS
Starter The weights of newborn lambs on a farm are normally distributed with a mean of 2.4kg and a standard deviation of 200g.
Poisson Distribution.
Binomial Distribution
Chapter 5 Review MDM 4U Mr. Lieff.
Binomial Distribution
8.1 Normal Approximations
Packet #15 Exponential and Logarithmic Equations
The Normal Approximation to the Binomial Distribution
Mean & Variance for the Binomial Distribution
The Binomial Distribution
Normal Approximations to the Binomial Distribution
Probability Distribution – Example #2 - homework
Using the Normal Distribution
6.2/6.3 Probability Distributions and Distribution Mean
Binomial Distribution
7.5 The Normal Curve Approximation to the Binomial Distribution
How do I use normal distributions in finding probabilities?
Continuous Random Variable Normal Distribution
Exam 2 - Review Chapters
Ch. 6. Binomial Theory.
Cumulative Distribution Function
Binomial Distribution: Inequalities for cumulative probabilities
Probability distributions
Discrete Uniform distributions
7.3 Special Products.
Using the Discriminant and writing quadratic equations
Presentation transcript:

STARTER The probability that a particular page in a maths book has a misprint is 0.2. Find the probability that of 12 pages in the book: 4 of them have a misprint n = 12 and p = 0.2 P(X = 4) = 0.133 Fewer than 2 of them contain a misprint. P(X < 2) = 0.0687 + 0.2062 = 0.275

STARTER If X ≈ B (n, 0.6) and P (X< 1) = 0.0256, find n Therefore P(X = 0) = 0.0256 0.0256 = nC0 (0.6)0 (0.4)n = 1 x 1 x (0.4)n 0.4n = 0.0256 n = 4 (Solver or by taking logs each side)

Note 5: Expected Value of a Binomial Distribution For the binomial distribution where the expectation of X (or mean of X) is E(X) = np

Example: A farmer plants 150 gum trees, each of which have an individual probability of surviving the winter conditions of 0.8. Find the expected number that survive the winter. E(X) = np = 150 × 0.8 = 120

New Book Page 535 Exercise 15E and F