Normal Distributions and Z-Scores. Accelerated Math 3. Normal Distributions. Last year we learned about normal distributions and the Empirical Rule. Normal Distributions.

ByLesson Objective. Learn the mechanics of using the table for the Normal Distribution. Given a region for a variable that follows the Normal Distribution, find the probability that a randomly selected item will fall in this region.

ByPresentation 7. Sampling Distributions. Statistics VS parameters. Statistic – is a numerical value computed from a sample. Parameter – is a numerical value associated with a population.

ByBennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901. KIDS 1 2 3 3 4 5. MEAN MEDIAN MODE. Most widely used measure of dispersion is variance and standard deviation.

ByOutliers. Outliers are data points that are not like many of the other points, or values. Here we learn about some tools to detect them. age. x = 22. 24 26 28. 16 18 20.

ByIntroduction to Probability and Statistics Thirteenth Edition. Chapter 9 Large-Sample Tests of Hypotheses. Introduction. Suppose that a pharmaceutical company

ByVariance and Standard Deviation. The most important measures of “spread” or dispersion. Sample Variance. The variance is the average squared deviation away from the mean. For a sample of size n, divide by n – 1. For a population, divide by n. Sample mean x. The standard deviation.

ByChapter Two. Evan E. Amanda W. and Yunying Z. . Question. What is the true name for the 68-95-99.7 rule? Empirical rule Normal distribution Mean . Answer. A. Empirical rule . Question.

By. . . PENNIES for the AGES . . . . Push the “Sample More Data” button on the screen and read the average age of a sample of 16 pennies taken from the jar. Note the horizontal and vertical scales on the grid here and then record that (rounded) average age using a properly scaled X . .

ByLast lecture summary. New stuff. Variability is measured by standard deviation Robust equivalent? Empirical rule about stdev? Percentiles? Normal distribution, standard normal distribution Sampling distribution, CLT. Variability in sample means Standard error Centrality in sample mean

ByAlgebra 2. Practice Item Guide April 2012 18 questions. NEW Directions for logging into TestNav. You must be on a Broad Run Computer . Login: SOL Password: SOL Domain: Elem Start – Programs Choose – subject & test to practice. TECHNOLOGY-ENHANCED ITEM TYPES.

ByNormal Calculations. Presentation 1.13. Normal Calculations. There are typically two types of normal calculations. Calculate probabilities under the curve. Calculate scores given a probability. Calculate Probabilities. Many times it is helpful to know the likelihood of an event occuring.

ByUnit 5 Data Analysis. MM3D3. Empirical Rule. Normal Distributions . Normal distributions are based on two parameters Mean If you have population data use If you have sample data use Standard Deviation If you have population data use If you have sample data use s

ByMeasures of Dispersion. How far the data is spread out. Range. Difference between the highest and lowest values. Variance. Includes all data values Measures average distance of squared values to mean Population Sample. Standard Deviation. Important value to study of statistics

ByMeasures of Location. The population mean of a data set is the average of all the data values. Sum of the values of the N observations. Number of observations in the population. Measures of Location. The population mean of a data set is the average of all the data values.

ByCalculating Population Parameters versus Sample Statistics. Usually only the symbols are different. However, the population variance has a different formula from the sample variance. To calculate the population variance, the population variation is divided by N not (n-1). Populations.

ByChapter 6 Continuous Probability Distribution. I. Basic Definitions II. Normal Distribution Probability density function and distribution table Characteristics - identify a normal distribution Compute probability The standard normal distribution Z Normal distribution Applications

BySlides Prepared by JOHN S. LOUCKS St. Edward’s University. Chapter 3 Descriptive Statistics: Numerical Measures Part B. Measures of Distribution Shape, Relative Location, and Detecting Outliers. Exploratory Data Analysis. Measures of Association Between Two Variables.

BySampling distributions. Example. Take random sample of 1 hour periods in an ER. Ask “how many patients arrived in that one hour period ?” Calculate statistic, say, the sample mean. Sample 1: 2 3 1 Mean = 2.0 Sample 2: 3 4 2 Mean = 3.0. Situation.

ByUnivariate Data Review. All data goes in L 1. Input the data into your calculator (Stat, Edit, Calc , 1-Var Stats) and find the 5-number summary. 1. a). 18, 20, 28.5, 38, 56. 62, 69, 77.5, 87, 99. b). c). 59, 61.5, 66, 69, 75. 2, 6, 8, 9, 10. All data goes in L 1.

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