PPT-Chapter 4: Displaying Quantitative Data

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 . 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. 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.. by Alyssa Webb. Data can come in many different types but it useless without it’s context.. Not all data represented by numbers is numerical. (ex: 1=boy, 2=girl). Who, What, When, Where, Why, and How? provides context for 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 . Empirical Qualitative Research. Approaches to . Empirical Qualitative Research. Natural . observation. Participant . observation. In . person interviews . (in-depth and focused). Group . interviews. Empirical Qualitative Research. 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.. 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. Brave New Data. We are no longer limited to charts which only work for categorical data.. We have three more charts at our disposal.. Even though I do not think the book stresses this enough, frequency tables and relative frequency tables are still useful for quantitative data.. Find and interpret marginal and conditional distributions for 2 Categorical Variables. Determine if 2 Categorical Variables have a possible association. AP Statistics Objectives Ch3. frequency table. 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. 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.