PPT-Summarizing Performance Data

Confidence Intervals Important Easy to Difficult Warning some mathematical content Contents Summarized data Confidence Intervals Independence Assumption Prediction Intervals Which Summarization to Use . Presenters: Emma Packard& Suzanne Fitzgerald. Tracking Student Progress. Data collection. Part 2. 1. 2. HOMEWORK. 3. 4. 5. 6. Data. Data. Data. Requested DATA SHEET Examples. 7. 8. 9. 10. 11. After completing this session, participants will. and Quoting. The building blocks of using your research to the fullest.. Important Note. This info applies to all our assignments but most heavily to the final argument paper.. Your current assignment (the rhetorical analysis paper) does not require very long summaries of the sources since you’re mainly focused on style and rhetorical tactics.. Adapted from: . Developing Scholarly Abstracts by Mindy Smith and Designing and Presenting Poster by Deborah Sleight. Objectives. Describe the steps in preparing an abstract that can then be used to create your poster presentation. Brought to you by. The Writing and Learning Centre. One of the challenges in . effective academic . writing is being able to transition from one idea to . another….. … or . from one argument to another in an essay. . Histograms. Similar to bar charts, but with quantitative data.. No gaps between bars.. Summarizes data visually using frequency count.. Data: Amount spent by 50 customers at a grocery store. 2.32 6.61 6.90 8.04 9.45 10.26 11.34 . Methods. Rcmdr. Features for loading, viewing and analyzing data. Help system. Packages. Data in R. Several formats: vectors, arrays, matrices, lists, . data.frames. Generally we use . data.frames. as they have the advantage of letting us store different kinds of data and linking them by row.. 1. Graphical displays of a Quantitative data. 2. Histogram . Stem-and-leaf plot. Boxplot . Tim Horton’s Example. 3. Below is a snap shot of nutritional information for all donuts at Tim Horton’s.. Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall. 3-. 1. Data Visualization. Data Queries: Using Sorting and Filtering. Statistical Methods for Summarizing Data. Exploring Data Using PivotTables. Steve Chenoweth, RHIT. Above. – They look ready to perform, but why are they sitting in the audience seats?. What is performance?. It’s both of:. How fast, and. Capacity (how many). Usually, a combination . Presenting. iRaise the Rates. Champions Training Program . MedConcert. Platform. CECity | ACP | QHC | Pfizer. Presentation and Discussion. Confidential – Not for Distribution. The Elephant in the Room: . Presenting. iRaise the Rates. Champions Training Program . MedConcert. Platform. CECity | ACP | QHC | Pfizer. Presentation and Discussion. Confidential – Not for Distribution. The Elephant in the Room: . 2. :. Variance and Standard Deviation. Sample variance. :. (Almost) the average of squared deviations from the sample mean.. Measures of Data Spread. data point . i. sample mean. there are . n. data points. Mayuresh . Kunjir. Modern Data Analytics Frameworks. Process external data. Great for unstructured data. Easy to scale out. Suited for Cloud infrastructure. Fast recovery. Suited for commodity nodes. The Benefits of Reading Books,Most people read to read and the benefits of reading are surplus. But what are the benefits of reading. Keep reading to find out how reading will help you and may even add years to your life!.The Benefits of Reading Books,What are the benefits of reading you ask? Down below we have listed some of the most common benefits and ones that you will definitely enjoy along with the new adventures provided by the novel you choose to read.,Exercise the Brain by Reading .When you read, your brain gets a workout. You have to remember the various characters, settings, plots and retain that information throughout the book. Your brain is doing a lot of work and you don’t even realize it. Which makes it the perfect exercise!