Math 203_Lecture 11

Math 203_Lecture 11 - Principles of Statistics 1 Lecture...

Info iconThis preview shows pages 1–10. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Principles of Statistics 1 Lecture 11: Math 203 Abbas Khalili Department of Mathematics and Statistics McGill University May 18, 2011 Principles of Statistics 1 Lecture 11: Math 203 p. 1/3 5 Chapter 8 Tests of Hypothesis Principles of Statistics 1 Lecture 11: Math 203 p. 2/3 5 Introduction So far we have learned how to use sample data x 1 ,x 2 ,... ,x n to estimate a parameter of a interest, such as mean ( ) or proportion ( p ), of a population by: Principles of Statistics 1 Lecture 11: Math 203 p. 3/3 5 Introduction So far we have learned how to use sample data x 1 ,x 2 ,... ,x n to estimate a parameter of a interest, such as mean ( ) or proportion ( p ), of a population by: point estimate Principles of Statistics 1 Lecture 11: Math 203 p. 3/3 5 Introduction So far we have learned how to use sample data x 1 ,x 2 ,... ,x n to estimate a parameter of a interest, such as mean ( ) or proportion ( p ), of a population by: point estimate confidence interval Principles of Statistics 1 Lecture 11: Math 203 p. 3/3 5 Introduction So far we have learned how to use sample data x 1 ,x 2 ,... ,x n to estimate a parameter of a interest, such as mean ( ) or proportion ( p ), of a population by: point estimate confidence interval In addition to these, we may also be interested in making an inference about how the value of a parameter, e.g. or p , is related to a specific numerical value. Principles of Statistics 1 Lecture 11: Math 203 p. 3/3 5 Examples 1. An insurance company is reviewing its current policy rates. They are concerned that the true average claim amount is actually higher than what they originally set, which was $1 , 800 . Principles of Statistics 1 Lecture 11: Math 203 p. 4/3 5 Examples 1. An insurance company is reviewing its current policy rates. They are concerned that the true average claim amount is actually higher than what they originally set, which was $1 , 800 . 2. The maker of a certain model car claimed that his car averaged at least 31 mpg. A sample of 9 cars showed a mean of x = 29 . 43 miles with a s = 3 miles. what do you conclude about the manufacturers claim? Principles of Statistics 1 Lecture 11: Math 203 p. 4/3 5 Examples 1. An insurance company is reviewing its current policy rates. They are concerned that the true average claim amount is actually higher than what they originally set, which was $1 , 800 . 2. The maker of a certain model car claimed that his car averaged at least 31 mpg. A sample of 9 cars showed a mean of x = 29 . 43 miles with a s = 3 miles. what do you conclude about the manufacturers claim? 3. A manufacturer company claims that in a lot of 1500 items produced by them only about . 5% of the items are bad (do not work properly). You as a consumer want to investigate their claim whether it is true or not....
View Full Document

This note was uploaded on 07/15/2011 for the course MATH 203 taught by Professor Dr.josecorrea during the Summer '08 term at McGill.

Page1 / 112

Math 203_Lecture 11 - Principles of Statistics 1 Lecture...

This preview shows document pages 1 - 10. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online