PPT-Frequency Distributions, Histograms,

Percentiles and Percentile Ranks and their Graphical Representations Chapter 2 Frequency Distributions Histograms Percentiles and Percentile Ranks How can we represent or summarize a list of values . Percentiles and Percentile Ranks and their Graphical Representations. Note: we’ll be skipping book sections:. 2.4 (apparent and real limits) . 2.8, 2.9 (percentile and percentile ranks for grouped data). Representing . Data. Why use a Histogram. When there is a lot of data. When data is . Continuous . a mass, height, volume, time etc. Presented in a Grouped Frequency Distribution. Often. . in groups or classes that are UNEQUAL . Describing Data Using Tables and Graphs. Assignment 2. Example Problems. Frequency Distributions. Objective:. Identify the class width, class midpoints, and class boundaries for the given frequency distribution. Math. ematics. in . Today's . World. Last Time. Collecting data requires making measurements.. Measurements should be valid.. We want to minimize bias and variability, as much as possible.. Today. Three keys for summarizing a collection of data. multimodal is always interesting. qualitative distinction!. Regimes or modes (literal meaning). Buoy downwelling radiation along Pacific cold tongue as TIWs go by in the ocean. Figure 3.16. – Width vs. top height of each EO for 16 June 2006 – 31 May 2008. Distribution is weighted by total number of pixels (volume) per EO to emphasize larger EOs. Bin size is 10 pixels (~ km) by 240 m. Width is the horizontal span of the EO.. Assignment 2. Example Problems. Frequency Distributions. Objective:. Identify the class width, class midpoints, and class boundaries for the given frequency distribution. Daily Low Temperature (°F). The trend of time-frequency analysis in recent years:. (1) S transform and its generalization . (2) Time-variant signal expansion. (3) Improvement for the Hilbert-Huang transform . 186. VII-A . . S Transform . We can use many different ways to represent data. Some of these ways include, but are not limited to:. Tables. Charts. Pie graphs. Histograms. Bar graphs. Frequency Tables. Frequency tables frequently bin data into small groups. . 4. 3. 2. 1. 0. In addition to level 3.0 and above and beyond what was taught in class,  the student may:. · Make connection with other concepts in math. · Make connection with other content areas.. 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.. (resource: Barron’s AP Statistics 7. th. Edition). 1.) Graders want to give you credit.. Graders want to give you credit– help them! Make them understand . what. you are doing, . why. you are doing it, and . (resource: Barron’s AP Statistics 7. th. Edition). 1.) Graders want to give you credit.. Graders want to give you credit– help them! Make them understand . what. you are doing, . why. you are doing it, and . Going to the movies – Frequency tables. Class interval. Frequency. 155-<160. 3. 160-<165. 2. 165-<170. 9. 170-<175. 7. 175-<180. 10. 180-<185. 5. How is this different to other frequency tables you’ve seen?. Distributions. . . Athletic Shoe Survey. Histograms. Capital . Credit Union. Joint Frequency . Distributions. Capital . Credit Union. Joint Relative . Frequencies. Capital . Credit Union. More Examples.