07 Displaying And Comparing Quantitative Data.notebook
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Topic: Data Distributions Objective: Students will be able to compare data displayed in a variety of displays including box and whisker plots, dot plots, and histograms. Standards: AP Stats: UNC‑1 (EU), UNC‑1.N (LO), UNC‑1.N.1 (EK), UNC‑1.O (LO), UNC‑1.O.1 (EK) CCSS Math: 7.SP.B.3, 7.SP.B.4
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Box and Whisker Plots
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Box and Whisker Plots Example: The box plots below show the heights (in centimeters) of the players on the University of Maryland women's basketball and field hockey teams.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Dot Plots
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Dot Plots Example: Before sending track and field athletes to the Olympics, the U.S. holds a qualifying meet. The lower dot plot shows the times (in seconds) of the 8 sprinters who competed in the final of the women's 100 meter dash at the 2012 Olympic games. The upper dot plot shows the times (in seconds) of the top 8 sprinters at the U.S. qualifying meet for that event.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Histograms Example: People seem to like movies about comic book heroes. The histograms below show the gross revenue (in hundreds of millions of dollars) of movies based on heroes from the two most popular comic book companies.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Things to watch out for: 1. The word ALL 2. The word ALWAYS 3. The word NEVER Vocabulary: 1. Mean: 2. Median: 3. Mode: 4. Normal Distribution: 5. Standard Deviation:
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Data Displays: Dot Plots compared to Box and whisker
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Data Distributions Example: For his senior project, Richard is researching how much money a college graduate can expect to earn based on his or her major. He finds the following interesting facts: Basketball superstar Michael Jordan was a geology major at the University of North Carolina. There were only 3 civil engineering majors from the University of Montana. They all took the exact same job at the same company, earning the same salary. Of the 35 finance majors from Wesleyan University, 32 got high paying consulting jobs, and the other 3 were unemployed.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Data Distributions Example: 1. 2. 3. For geology majors from UNC, the median income will likely be the mean. For civil engineering majors from Montana, the median income will be the mean. For finance majors from Wesleyan, the median income will be the mean.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Center and Spread Example: The center of the semifinal round distribution is the center of the final round distribution. The variability in the semifinal round distribution is the variability in the final round distribution.
07 Displaying and Comparing Quantitative Data.notebook October 08, 2019 Displaying and Comparing Quantitative Data Comparing Center and Spread Example: The center of the Olympic final distribution is the center of the US qualifier distribution. The variability in the Olympic final distribution is the variability in the US qualifier distribution.
07 Displaying and Comparing Quantitative Data.notebook Displaying and Comparing Quantitative Data You should be working on the following skills: 1. 2. 3. 4. 5. 6. Shape of distributions Clusters, gaps, peaks, and outliers Comparing distributions Comparing data displays Comparing data distributions Comparing center and spread ATTENTION: Log In Through CLEVER Now Spirit Week is This Week, extra credit for anyone who participates! October 08, 2019
07_Displaying and Comparing Quantitative Data.notebook October 08, 2019 Comparing Box and Whisker Plots Example: The box plots below show the heights (in centimeters) of the players on the University of Maryland women's basketball and field hockey teams. Displaying and Comparing Quantitative Data
Quantitative Aptitude – Clocks and Calendars – Formulas E-book Monthly Current Affairs Capsules Quantitative Aptitude – Clocks and Calendars – Formulas Introduction to Quantitative Aptitude: Quantitative Aptitude is an important section in the employment-related competitive exams in India. Quantitative Aptitude Section is one of the key sections in recruitment exams in India including .
Morningstar Quantitative Ratings for Stocks Morningstar Quantitative Ratings for stocks, or "quantitative star ratings," are assigned based on the combination of the Quantitative Valuation of the company dictated by our model, the current market price, the margin of safety determined by the Quantitative Uncertainty Score, the market capital, and
Chapter 3 – Displaying and Summarizing Quantitative Data 1. Histogram. Answers will vary. 2. Not a histogram. Answers will vary. 3. In the news. Answers will vary. 4. In the news II. Answers will vary. 5. Thinking about shape. a) The distribution of
P1: FXS/ABE P2: FXS 9780521740517agg.xml CUAT013-EVANS September 7, 2008 11:27 Contents Acknowledgements xiv CORE CHAPTER 1—Organising and displaying data 1 1.1 Classifying data 1 1.2 Organising and displaying categorical data 3 1.3 Organising and displaying numerical data 8 1.4 What to look for in a histogram 20 1.5 Stem-and-lea
Displaying and Rotating Wind Wizard Derived Wind Direction and Windspeed Vectors in ArcMap 8.3 Chuck McHugh, RMRS, Fire Sciences Lab, Missoula, MT, 406-829-6953, cmchugh@fs.fed.us. A. Displaying Wind Wizard generated Gridded Wind Direction – Speed vectors.
ANCOVA ANCOVA (Analysis of covariance) is a linear model that allows you to compare two (or more) groups while adjusting for one or more quantitative covariates. Similarly, you might be interested in comparing the relationship between the quantitative variables while ac
methods are used more often than qualitative methods in criminology and criminal justice. Importantly, quantitative and qualitative methods differ in several ways. The present study contributes to the literature by presenting a theoretical treatment of quantitative and qualitative research. The study begins by presenting quantitative and .
EDUQAS A LEVEL - COMPONENT 1 BUSINESS OPPORTUNITIES AND FUNCTIONS SUMMER 2018 MARK SCHEME SECTION A Q. Total 1 Give one example of a business using batch production and describe two benefits of this method of production. Award 1 mark for an appropriate example. AO1: 1 mark Indicative content: A baker making loaves of bread; a clothing manufacturer making batches of a particular garment; a .
