PPT-2.4 Describing Distributions Numerically – cont.

Describing Symmetric Data Symmetric Data Body temp of 93 adults Recall 2 characteristics of a data set to measure center measures where the middle of the data is located variability measures how spread out the data is. Fred Davies. ASTR 278. 2/23/12. Contents. Eddington Ratio. What does it mean?. How do we measure it?. Contents. Eddington Ratio. What does it mean?. How do we measure it?. Two regimes of measurement. how fast the object is moving.. Section 1: . Describing Motion. K. What I Know. W. What I Want to Find Out. L. What I Learned. 2(D). Organize, analyze, evaluate, make inferences, and predict trends from data.. AS91586 Apply probability distributions in solving problems. NZC level 8. Investigate situations that involve elements of chance. calculating and interpreting expected values and standard deviations of discrete random variables. Continuous distributions. Sample size 24. Guess the mean and standard deviation. Dot plot sample size 49. Draw the population distribution you expect. Sample size 93. Sample size 476. Sample size 948. PACs, or WHOSE. REVIEW. The relative pronouns you know already are:. Who. Which. That. You also know the words:. Where. When. SAC:. That’s the lady . who I kissed.. OAC:. I found the pencil . which I’d lost yesterday!. A Brief Introduction. Random Variables. Random Variable (RV): A numeric outcome that results from an experiment. For each element of an experiment’s sample space, the random variable can take on exactly one value. Measure description:. The . Government will introduce a specific measure preventing the distribution of franking credits where a distribution to shareholders is funded by particular capital raising activities. . Maryam . Aliakbarpour. (MIT). Joint work with: Eric . Blais. (U Waterloo) and . Ronitt. . Rubinfeld. (MIT and TAU). 1. The Problem . 2. R. elevant features in distributions.  . Smokes. Does not regularly exercise . Module 3. Describing Families. 1. RDA Chapters 8 . and 10. Module 3. Describing Families. 2. Families as creators. Families create records (archives). Families create serials (e.g. newsletters). Families create monographs (e.g. a family cookbook). RDA Training. Brigham Young University,. Utah State Library,. University of Utah,. November 2012. Login information for workshop. access.rdatoolkit.org (login at BYU is by IP authentication). Utah State Library workshop: Please feel free to sign up later for a month’s free access so you can practice (see handout). II. BINOMIAL DISTRIBUTIONS A. Binomial Experiments 1. A binomial experiment is a probability experiment that satisfies the following conditions: a. The experiment is repeated for a fixed number of independent trials. Chapter 5: The Phrase Part 1: Prepositional Phrases- The Adjective & Adverb Phrase What is a phrase? A group of words that is missing a verb, a subject, or both Examples: i n the kitchen (no subject or verb) RDA Chapters 8 . and 9. 2. Module 2. Describing Persons. Scope of “Person”. Definition (RDA 8.1.2) . An individual or an identity established by an individual, either alone or in collaboration with one or more other individuals. Module 4. Module 4. Describing Corporate Bodies. 1. RDA Chapters 8 . and 11. Module 4. Describing Corporate Bodies. Definition of Corporate Body. (RDA 8.1.2). The term . corporate body. refers to an organization or group of persons and/or organizations that is identified by a particular name and that acts, or may act, as a unit..