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years brPage 3br Median middle point n n populatisav n tumorsizesav resistant brPage 4br Mode 9 94 144 brPage 5br Comparison of the Mean Median and Mode brPage 6br Range Standard Deviation and Variance xx xx SS xxSS SS SS n n n n brPage 7br ss xx S. Mean Arithmetic Mean To calculate the arithmetic mean of a set of data we must 64257rst add up sum all of the data values and then divide the result by the number of values Since is the symbol used to indicate that values are to be summed see Sigm Consider the coordinate system illustrated in Figure 1 Instead of using the typical axis labels and we use and or 1 The corresponding unit basis vectors are then and or 1 The basis vectors and have the following properties 1 1 0 2 Figu orderconditiondecision(p)rotocol(s)ource(sP)ort(d)estination(dP)ort1anyxxx.xxx.xxx.[010,050]anyxxx.xxx.xxx.xxxanydeny2anyxxx.xxx.xxx.[040,090]anyxxx.xxx.xxx.xxxanyaccept3anyxxx.xxx.xxx.[060,100]anyxxx Dr. Rajaa Al-Raddadi. Summary Measures of Population Health. Rationale for summary . measures. Measure of Morbidity. Mortality-based measures. Combined disability & mortality methods. . Why do we need measures of population health?. . Mean, Median, Mode. Measures of Variation. . Range, Variance and Standard Deviation. Measures of Association. . Covariance and Correlation. Describing Data: . Summary Measures. How do you predict the winner of an election before the election takes place?. In this lesson you will learn how to collect data about a . population. by identifying a sample of the population.. How many texts do middle school students send in one day?. Understanding and becoming familiar with new symbols and notation .. Parts of the handbell. handbell notation. Handbell notation. Handbell notation. Handbell notation. Handbell notation. Chapter 1: An Introduction to Statistics and Statistical Inference. 1. http://vadlo.com/cartoons.php?id=71. 0,1: . Introduction. : Goals. Create your own definition of . statistics.. State some applications of Statistics for your field.. Main Theme . How can we use . math. to justify that our numerical . summaries from the sample are . good . summaries of the population?. Lecture Summary. Today, we focus on two summary statistics of the sample and study its theoretical properties. Sometimes it is referred to as a “middle” number of the data.. Measures of Central Tendency:. A single number to serve as a representative value around which all the numbers in the set tend to cluster.. Sample. , shape, location, and spread. Sample = make sure it's random, handle missing data (mcar, mar, nmar), imputation . methods. NMAR!. . Shape = Is the data skewed, normal, or flat? If normal then we can use statistical analysis for normal . Introduction to Statistics 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  Power . Exponential Notation. A short hand of writing a number with out changing its Value. It only changes the way it looks.. * . . . . .  . X10. #. x10. - #. Number gets larger . System -. Session . 3: Population Concepts used in DYS: Improvement of Population and Vital Statistics metadata . - . Botswan. a. by . Grace Mphetolang . Manager – Census and . Demography. Statistics Botswana.