'Mean absolute deviation' presentation slideshows

EMGT 501 HW Solutions Chapter 14 - SELF TEST 3 Chapter 14 - SELF TEST 14

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CHAPTER 3 Forecasting

CHAPTER 3 Forecasting. Outline. Definition Forecast Accuracy Types of Forecasts Judgmental Time series Associative models. Forecast. A statement about the future value of a variable of interest, such as demand. Equivalently, prediction about the future.

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A Look at Means, Variances, Standard Deviations, and z -Scores

A Look at Means, Variances, Standard Deviations, and z -Scores. Dr. Margie Mason College of William and Mary mmmaso@wm.edu. Based on the Technical Assistance Document 2009 Algebra I Standard of Learning A.9.

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Risk Measures

Risk Measures. IEF 217a: Lecture Section 3 Fall 2002. Risk Measures Assigning a number to risk. Histogram Variance Beta (CAPM) Value at Risk (VaR) Expected utility Time Historical Perspectives. Histogram. Another Histogram. Histogram. Full picture of risk subject to:

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Welcome to PMBA0608: Economics/Statistics Foundation

Welcome to PMBA0608: Economics/Statistics Foundation. Fall 2006 Session 4: September 6. Study. Chapters 1 through 4 of Mankiw Chapters 1 through 3 of Mendenhall, Beaver and Beaver Send me your questions I will do one or all of the following Answer you privately

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Customer Demand

Customer Demand. Customer demand varies in both timing and quantity:. Individual Customer Order. Quantity. Time. Customer Demand.

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MAD Mean Absolute Deviation

MAD Mean Absolute Deviation. How can you describe how far apart the responses are from the center in a data set?. In this lesson you will learn how to describe the distribution of data by using the mean absolute deviation MAD. The mean of a set of data is the average.

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Objectives

Objectives. The student will be able to: use Sigma Notation find the mean absolute deviation of a data set SOL: A.9 2009. Sigma Notation.

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Nonstationary Time Series Examples

Nonstationary Time Series Examples. Consider the Chemical Process Viscosity data set Is this time series stationary? Why or why not? Time effect present? What do lag scatter plots tell us? What does ACF tell us? Conduct the Durbin-Watson test. The Durbin-Watson Test.

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Family Size

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3-26-13 Describing Data

3-26-13 Describing Data . Get your calculator!. EQ: How would you describe real-world data using the median or mode as a measure of center, and range as a measure of variability? How would you describe a data distribution? .

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Forecasting Demand for Services

Forecasting Demand for Services. Learning Objectives. Recommend the appropriate forecasting model for a given situation. Conduct a Delphi forecasting exercise. Describe the features of exponential smoothing.

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Numerical Measures of Variability

Numerical Measures of Variability. Deviations and the Spread of Data. A deviation is the difference between an observation value and the mean of its sample or population distribution. The sum total of all deviations in a sample or population always equals zero.

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Mean Absolute Deviation

Mean Absolute Deviation. Definition. The average distance each data point is from the mean of all the data points. HUH?!?!? I know this is confusing but lets try going through an example and see if that helps you understand exactly what this all means!. To Find the M.A.D.

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Warm Up

Warm Up. You polled your friends to find out how many video games they have at home. The numbers you found are listed below. Find the interquartile range of the data, and draw a box and whisker plot. 12, 16, 22, 31, 32, 35, 41, 47, 49. IQR = 25. Math I.

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Mean Absolute Deviation

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Sigma Notation & Mean Absolute Deviation

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5-14: Wallace Garden Supply Demand for Fertilizer

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Four Months

Kevin McShane Homework Problem 5-12 Develop a four month moving average forecast for Wallace Garden Supply And compute the MAD. Data found in Table 5.3 . Four Months. QM Calculated MAD along with other calculations. The formula is Sum of forecast errors / n . Measure Value

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