The Binomial Distribution: Using Tables © Christine Crisp “Teach A Level Maths” Statistics 1.

Slides:



Advertisements
Similar presentations
“Teach A Level Maths” Vol. 2: A2 Core Modules
Advertisements

The Binomial Distribution: Mean and Variance
“Teach A Level Maths” Vol. 2: A2 Core Modules
42: Differentiating Parametric Equations © Christine Crisp “Teach A Level Maths” Vol. 2: A2 Core Modules.
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Statistics 1
12: The Quotient Rule © Christine Crisp “Teach A Level Maths” Vol. 2: A2 Core Modules.
6: Roots, Surds and Discriminant © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
21:The Factor Theorem © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
“Teach A Level Maths” Statistics 1
21: Simpson’s Rule © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
The Binomial Distribution © Christine Crisp “Teach A Level Maths” Statistics 1.
The Normal Distribution © Christine Crisp “Teach A Level Maths” Statistics 1.
11: The Rule for Differentiation © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
19: Laws of Indices © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
More Combinations © Christine Crisp “Teach A Level Maths” Statistics 1.
9a: Differentiating Harder Products © Christine Crisp “Teach A Level Maths” Vol. 2: A2 Core Modules.
31: Arithmetic Sequences and Series © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
6: Discriminant © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
“Teach A Level Maths” Vol. 1: AS Core Modules
Finding the Mean © Christine Crisp “Teach A Level Maths” Statistics 1.
Discrete Random Variables
15: The Gradient of the Tangent as a Limit © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
24: Indefinite Integration © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
The Geometric Distribution © Christine Crisp “Teach A Level Maths” Statistics 1.
47: More Logarithms and Indices
9: Linear and Quadratic Inequalities © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
The Discrete Uniform Distribution © Christine Crisp “Teach A Level Maths” Statistics 1.
25: Definite Integration © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
8: The Product Rule © Christine Crisp “Teach A Level Maths” Vol. 2: A2 Core Modules.
Finding the Normal Mean and Variance © Christine Crisp “Teach A Level Maths” Statistics 1.
12: Tangents and Gradients © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
“Teach A Level Maths” Statistics 1
20: The Mid-Ordinate Rule © Christine Crisp “Teach A Level Maths” Vol. 1: AS Core Modules.
“Teach A Level Maths” Vol. 1: AS Core Modules
Cumulative Distribution Function
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Statistics 1
Laws of Indices.
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Statistics 1
Linear Functions of a Discrete Random Variable
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Statistics 1
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
47: More Logarithms and Indices
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 2: A2 Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
11: Proving Trig Identities
“Teach A Level Maths” Vol. 2: A2 Core Modules
“Teach A Level Maths” Vol. 1: AS Core Modules
Presentation transcript:

The Binomial Distribution: Using Tables © Christine Crisp “Teach A Level Maths” Statistics 1

Using Tables for the Binomial Distribution "Certain images and/or photos on this presentation are the copyrighted property of JupiterImages and are being used with permission under license. These images and/or photos may not be copied or downloaded without permission from JupiterImages" Statistics 1 AQA MEI/OCR OCR

Using Tables for the Binomial Distribution We do not always need to use the formula to find binomial probabilities. Suppose X is a random variable with a binomial distribution, then and is given in tables for some values of n and p.

Using Tables for the Binomial Distribution Exercise 1.Find the table “Cumulative Binomial Distribution Function” in your formula booklet. The table is spread over several pages. Find the heading on the 1 st page of the table and notice that it contains a reminder that the numbers shown are for. Find the section for n = 10 and look under the column for p = 0·3 to find You get

Using Tables for the Binomial Distribution Exercise Solution: (d) 2.If, (b) Use the answer to (a) to find. (c)Find. (a) find (d)Use the answers to (a) and (c) to find. (b) (a) (c)

Using Tables for the Binomial Distribution Exercise Solution: (c) (b) (a) (d) 3. If, use tables to find (c) (a) (d) (b)

Using Tables for the Binomial Distribution SUMMARY If X is a random variable with a binomial distribution, then is given in “Cumulative Binomial Distribution Function Tables” for some values of n and p. Using the Tables: e.gs. can be read directly.

Using Tables for the Binomial Distribution Only those of you taking the AQA specification need the next (final) section.

Using Tables for the Binomial Distribution However, So, Your tables only show probabilities for values of p that are less than or equal to 0·5. X is the random variable with probability of success, p = 0·6 ( and failure 0·4 ). We need to turn things around so that we can use the tables with p = 0·4. To see how to do this we’ll use Suppose Using the formula, and this is where

Using Tables for the Binomial Distribution e.g.1 Use tables to find if If we have a r.v. X with probability of success, p, we define X / as the r.v. with probability of success 1  p. ( The failures for X become the successes for X /.) So, where,and So,

Using Tables for the Binomial Distribution e.g.2 In a computer chip manufacturing process 75 % of the output is acceptable. If a random sample of 20 is selected, what is the probability that at least 12 are acceptable? Solution: Let X be the r.v. “ the number acceptable” Then, Let X / be the r.v. “ the number rejected” then So, This is 20 – 12, so in general it will be n  x

Using Tables for the Binomial Distribution SUMMARY To use tables when and p > 0·5, we define a new r.v. X / where. change the probabilities so we are finding failures instead of successes, so, for example In every case, x becomes n – x and any inequalities change around.

Using Tables for the Binomial Distribution Exercise 1. If find. 2. If use tables to find. Check your answer using the formula. 3. If find 4.In a large consignment of daffodil bulbs, 80% are common varieties. What is the probability that in a bag of 20 bulbs no more than 15 are common varieties?

Using Tables for the Binomial Distribution 1. If find. Solution: Let 2. If (a) use tables to find. (b) Check your answer using the formula. Solution:

Using Tables for the Binomial Distribution Let Solution: 3. If find 4.In a large consignment of daffodil bulbs, 80% are common varieties. What is the probability that in a bag of 20 bulbs no more than 15 are common varieties? Solution: Let X be the r.v. “number of common bulbs“ Let

Using Tables for the Binomial Distribution The following slides contain repeats of information on earlier slides, shown without colour, so that they can be printed and photocopied. For most purposes the slides can be printed as “Handouts” with up to 6 slides per sheet.

Using Tables for the Binomial Distribution SUMMARY If X is a random variable with a binomial distribution, then is given in “Cumulative Binomial Distribution Function Tables” for some values of n and p. Using the Tables: e.gs. can be read directly.

Using Tables for the Binomial Distribution Solution: (c) (b) (a) (d) e.g. If, use tables to find (c) (a) (d) (b)

Using Tables for the Binomial Distribution Only those of you taking the AQA specification need this section. Your tables only show probabilities for values of p that are less than or equal to 0·5. X is the random variable with probability of success, p = 0·6 ( and failure 0·4 ). We need turn things round so that we can use the tables with p = 0·4. Suppose

Using Tables for the Binomial Distribution e.g.1 Use tables to find if where If we have a r.v. X with probability of success, p, we define X / as the r.v. with probability of success 1  p. ( X / is the variable with X s failures as its successes ).

Using Tables for the Binomial Distribution e.g.2 In a computer chip manufacturing process 75 % of the output is acceptable. If a random sample of 20 is selected, what is the probability that at least 12 are acceptable? Solution: Let X be the r.v. “ the number acceptable” Then, Let X / be the r.v. “ the number rejected” then So, This is 20 – 12, so in general it will be n  x

Using Tables for the Binomial Distribution SUMMARY To use tables when and p > 0·5, we define a new r.v. X / where. change the probabilities so we are finding failures instead of successes, so, for example In every case, x becomes n – x and any inequalities change round.