PPT-1.2: Displaying Quantitative Data with Graphs

Section 12 Displaying Quantitative Data with Graphs After this section you should be able to CONSTRUCT and INTERPRET dotplots stemplots and histograms DESCRIBE the shape of a distribution. 96 CI SE 196 Expressed as a range around the percent 42 40 44 42 2 The range contains the average va lue of the percent which would result if all possible samples were used A 95 CI suggests that if 100 samples were drawn the average value of the Research in Education. Sohee Kang. Ph.D. , . l. ecturer . Math . and . Statistics . Learning . Centre. Outline. Analyzing Educational Research Data. Collecting data. Using R (R commander) for describing and testing hypotheses. Graphs.  . Graphs . capture . much more detail than numerical summaries, so very useful for learning about data and communicating its features.. At the same time, graphical interpretation isn’t standard in the way that numerical summaries are, and our eyes can fool us.. Part 1 . Pg. 43-53. When dealing with a large data set, it is best to:. summarize. . make . a picture. *. note - we do not use bar graphs or circle graphs for quantitative data. Histograms. The chapter example discusses earthquake magnitudes.. TEKS and S.E.s. B.2E Analyze data to formulate reasonable explanations, communicate valid conclusions supported by the data, and predict trends.. B.2G analyze, evaluate, make inferences, and predict trends from data. 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 . 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.. Message Design. 8 February 2012. This Evening’s Agenda. Debrief on . Superbowl. Ads: Design elements. Good and Bad examples. Presentation: Charts and Graphs. Sidebar: . Economist . magazine (“newspaper”). Kim Unger – Fall 2017. About me. Senior Analytics Consultant, DataBrains. Former SSEF, ISEF, STS Finalist. Science Fair Judge (regional, SSEF, ISEF). Data Visualization is my day-to-day job. kunger@databrains.com. National Council for the Social . Studies. November 22, 2013. Lynette Hoelter. lhoelter@umich.edu. From Lynette…. … a . HUGE . thank you to Margaret and Jean for giving this presentation! . Feel free to use, modify, or share these slides as needed. . Histograms. Bins. – equal width “piles” that we use to divide up quantitative data. The bins and the counts in each bin give the . distribution. of the quantitative variable. Enron Corporation . Statistical Questions. Statistical Questions. : ones that can be answered by collecting and analyzing . data. (pieces of information, can be numerical or categorical). Ex’s:. (a) What is the height of each . Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution. Quantitative or Qualitative?. John’s reaction time with 10 hours’ sleep averaged0.21 seconds; with 6 hours’ sleep it was 0.28 seconds.. Jenny gave a detailed account of her relationship with each of her children or.