Spreadsheets and Business Graphics: Facts and Figures Chapter 13 Objectives Describe the advantages of spreadsheets List several applications for spreadsheets Explain the underlying principles of electronic spreadsheet use Describe how to set up and modify a spreadsheet

ByDisplaying Statistical Information Statistical Information may be displayed: As a table As a chart As a graph Frequency Table Pie Chart Histogram Frequency Distribution Graph Cumulative Frequency Distribution Graph Constructing a Frequency Table

ByGIS Data and Data Sources DEM, TIGER, DLG, LULC, Soils, DOQQ, DRG. 1. Digital Elevation Models (DEM). The elevation value are stored as a matrix of regularly spaced ground positions Each data point represents the elevation of the grid cell in which it is located. 1. DEM 1:24,000 .

ByPennsylvania’s Home Visitation Stakeholder Committee Meeting February 20, 2013 Harrisburg, PA. Introductions. Work Groups. In Your Work Group. Please take notes!. At 11:15. Be ready to share your sequence of next steps Be ready to respond to questions or suggestions from the group.

ByVirginia Syndromic Surveillance Advisory Group (VSSAG) Pilot Kick-Off Call. January 9, 2019. Agenda. Pilot Goals Pilot Expectations Pilot Role-Based Access NSSP ESSENCE Demo Confirm Paperwork/NSSP Accounts/Data Access. Pilot Goals. Grant NSSP data access to pilot VSSAG members

ByRevision 2 October 26 th , 2005. Enervista Use Enervista to Simplify Your Workflow Process. Industry-Leading Suite of Software Tools to Manage your Relays and Meters. EnerVista Suite. Easy to Use Monitoring and Data Recording for Small Systems Pre-configured screens for Instant Monitoring

ByComputer Graphics and Image Processing (CIS-601). Image Segmentation by Clustering (Using Mahalanobis Distance). - Manjit Chintapalli. What is Image Segmentation ?. To humans, an image is not just a random collection of pixels; it is a meaningful arrangement of regions and objects.

ByFace detection and recognition. Many slides adapted from K. Grauman and D. Lowe. Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: iPhoto 2009. http://www.apple.com/ilife/iphoto/. Consumer application: iPhoto 2009. Can be trained to recognize pets!.

ByInference on a Single Mean. Use Calculation from Sample to Estimate Population Parameter. (select). Population. Sample. (calculate). (describes). (estimate). Parameter. Statistic. Use Calculation from Sample to Estimate Population Parameter. (select). Population. Sample. (calculate).

ByFederal Grants and the Academic Pipeline: White Paper Figures. Figure 1: Basic & Applied Research Funds Awarded by U.S. Federal Agencies to Universities and Colleges (2000 constant $*). Estimated 2009 Increase** (Including Stimulus Funds). Billions of $ (2000 constant).

ByPrediction and Accuracy. Lesson 3.5. The median-median line method gives you a process by which anyone will get the same line of fit for a set of data.

ByTeachers often feel that they only have 4 options in dealing with behaviors. Ignore the problem and hope it goes away Refer the student/s to an assistant principal Call the students’ parents and ask for help Apply a consequence, such as detention or some other punishment.

Byبه نام خدا. 1. Atomic Force Microscop (AFM). History and Definitions in Scanning Probe Microscopy (SPM) History Scanning Tunneling Microscope (STM) Developed in 1982 by Binning, Rohrer, Gerber, and Weibel at IBM in Zurich, Switzerland.

ByNonlinear Regression. Electrical Engineering Majors Authors: Autar Kaw, Luke Snyder http://numericalmethods.eng.usf.edu Transforming Numerical Methods Education for STEM Undergraduates. Nonlinear Regression http://numericalmethods.eng.usf.edu. Nonlinear Regression.

ByOperations Management & Performance Modeling. 1 Operations Strategy 2 Process Analysis 3 Lean Operations 4 Supply Chain Management Class 5a: Inventories & Economies of Scale Class 5b: Dealing with Uncertainty & role of Centralization Class 6a: Supply Chain Design

ByCoevolution: Studying the Dynamics of Competition and Gauss: Scenario Translation. Mary McDonald Science Applications International Corporation. What is “coevolution”? . A term originally from Evolutionary Biology

ByClustering 101. Ka Yee Yeung Center for Expression Arrays University of Washington. Overview. What is clustering? Similarity/distance metrics Hierarchical clustering algorithms Made popular by Stanford, ie. [Eisen et al . 1998] K-means

ByPart IV: Inference algorithms. Estimation and inference. Actually working with probabilistic models requires solving some difficult computational problems… Two key problems: estimating parameters in models with latent variables

BySource Control and Stormwater at Sediment Sites. Warren Hansen, PE Windward Environmental LLC. Challenges and complexities of controlling stormwater sources. Thinking in the context of SCALE. Stormwater and other pathways. Stormwater as One of Several Pathways.

ByInter-cluster distances are maximized. Intra-cluster distances are minimized. unsupervised learning - clustering. Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups.

ByView Data point PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Data point PowerPoint presentations. You can view or download Data point presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.