PPT-Chapter 3 Numerical Descriptive Measures

Group data Vs Ungrouped data Statistical data is of two types Grouped and Ungrouped Grouped data Grouped data is the type of data which is subdivided into classes Grouped data is not purely raw data . Types of Biological Data. Summary Descriptive Statistics. Measures of Central Tendency. Measures of Dispersion. Assignments. Scales of Measurement: General Comments . Any observation or experiment in biology involves the collection of information (observe plants). Tamara L Berg. Stony Brook University. Vision. Humans. Language. Tags: canon, . eos. , macro, japan, vacation, frog, animal, toad, amphibian, pet, eye, feet, mouth, finger, hand, prince, photo, art, light, photo, . Dr. Brand Niemann. Director and Senior Data Scientist. Semantic Community. http://semanticommunity.info/. http://www.meetup.com/Federal-Big-Data-Working-Group/. http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup. Dakota Davis. Slides taken from a . Workshop presented by Linda Henkel and Laura . McSweeney. of Fairfield University. Funded by the Core Integration Initiative and the Center for Academic Excellence at Fairfield University. Distribution. Chapter 3. BA 201. Distribution. Measures of Distribution Shape,. Relative Location, and Detecting Outliers. Distribution Shape. z-Scores. Chebyshev’s Theorem. Empirical Rule. Detecting Outliers. Of the Holy Scripture. ,. Sections 4 and 5. CHAPTER I - Of the Holy Scripture. 4. The authority of the Holy Scripture, for which it ought to be believed, and obeyed, dependeth not upon the testimony of any man, or Church; but wholly upon God (who is truth itself) the author thereof: and therefore it is to be received, because it is the Word of God.. Many . studies generate large numbers of data points, and to make sense of all that data, researchers use statistics that . summarize. the data, providing a better understanding of overall tendencies within the distributions of scores. To create a successful piece of descriptive writing. To understand the key techniques for successful descriptive writing. To be able to answer an exam style question . Structure?. To understand the key techniques for successful descriptive writing. Introduce active and descriptive verb usage. vocabulary review. Scale of Abstraction. Concrete Words. Abstract Words. Dominant impression. Closed form prose. Open form prose. Thesis. Theme. Class discussion-. Inferential Statistics. What You Need to Know for The Exam….. You will not have to conduct these tests in an exam(cue… sigh of relief). However you will have to;. Know the purpose of using Inferential Statistics.. Chapter 2 Topics. . Visualizing variation in numerical and categorical data. Summarizing important features in numerical and categorical distributions. Visualizing variation in numerical data. Section 2.1. Statistical Questions. Statistical Questions. : ones that can be answered by collecting and analyzing . data. (pieces of information, can be numerical or categorical). Ex’s:. (a) What is the height of each . Descriptive Statistics Part I Each slide has its own narration in an audio file. For the explanation of any slide click on the audio icon to start it. Professor Friedman's Statistics Course by H & L Friedman is licensed under a  Types and dimensions of meaning. 3.1 Introduction. 3.2 Descriptive and non-descriptive meaning. 3.3 Dimensions of non-descriptive meaning. 3.4 Non-descriptive dimensions. Discussion questions and exercises.