PPT-Week 2 Lecture 1 Chapter 3. Displaying and Summarizing Quantitative Data

1 Graphical displays of a Quantitative data 2 Histogram Stemandleaf plot Boxplot Tim Hortons Example 3 Below is a snap shot of nutritional information for all donuts at Tim Hortons. 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 Throughout the course we will emphasize the paradigm Think Show Tell The above objectives fit into this paradigm as follows Think about what graphical display is appropria te for the data at hand create the display to show the data objective 1 Tell Describing Inverse Problems. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Lecture 04 The L. 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. 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. 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 . 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. 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. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Lecture 04 The L. 2. Norm and Simple Least Squares.