{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

ec41lecture9_handout-2

ec41lecture9_handout-2 - Statistics for Economists Lecture...

Info icon This preview shows pages 1–9. Sign up to view the full content.

View Full Document Right Arrow Icon
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Statistics for Economists Lecture 9 Kata Bognar UCLA April 27, 2010
Image of page 1

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

View Full Document Right Arrow Icon
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Announcements Midterm grade distribution. Homework 3 will be posted this afternoon, due on May 6.
Image of page 2
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Last Lecture Binomial distribution
Image of page 3

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

View Full Document Right Arrow Icon
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Today’s Outline 1 Continuous random variables 2 Normal distribution 3 Standard normal distribution 4 Normal approximation of a binomial distribution 5 Readings: Weiss, Chapter 6.1-6.3, 6.5 6 Readings for next class: Weiss, Chapter 7.1-7.3
Image of page 4
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Using the Binomial Table
Image of page 5

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

View Full Document Right Arrow Icon
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Binomial Probability Histograms Histograms if n = 6 .
Image of page 6
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Random Sampling and the Binomial Distribution p proportion of the elements in a population have a specific characteristic. X is the number of elements in a random sample of size n with the specific characteristic. If the sampling is with replacement then X follows a binomial distribution with parameters n and p . If the sampling is without replacement then X does not follow a binomial distribution. If the sample size is less than 5% of the population size then X is approximately binomial.
Image of page 7

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

View Full Document Right Arrow Icon
Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Strange Facts About Continuous Random Variables A continuous random variable X can assume continuum number of possible values from one or more intervals.
Image of page 8
Image of page 9
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern