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. brPage 1br Email not displaying correctly brPage 2br Michael Santoro,. Queens College English Department. Introduction to Quantitative Formalism. “’Distant reading’, I have once called this type of approach; where distance is however not an obstacle, but a specific form of knowledge…” . By Idris Fabio Augustus Crockett-Magee. &. Sam Brill. What is Quantitative Easing?. Quantitative . E. asing (QE) is a policy used by the Bank of England introduced in March 2009. . This is a Monetary policy used when the interest rate can not go any lower (0.5%).. 2-3. In addition to the histogram, the frequency polygon, and the . ogive. , several other types of graphs are often used in statistics. They are the bar graph, Pareto chart, time series graph, and pie chart. . Slide #. 1. Bivariate EDA. Describe the . relationship between pairs of . variables. Four characteristics to describe. Association (Direction). Form. Outliers. Strength. Quantitative Bivariate EDA. Slide #. Teaching . Probability and Decision Theory in . Foundations . of Logical . Reasoning. Quantitative Literacy in Philosophy. [. Quantitative literacy] requires logic, data analysis, and probability….It enables individuals to analyze evidence, to read graphs, to understand logical arguments, to detect logical fallacies, to understand evidence, and to evaluate risks. Quantitative literacy means knowing how to reason and how to think. . John 1:14-17. DISPLAYING HIS GRACE. HIS GRACE IS EQUAL WITH TRUTH (v.14). “full of grace and truth”. nearly full . full. DISPLAYING HIS GRACE. HIS GRACE IS EQUAL WITH TRUTH (v.14). “full of grace and truth”. 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.. The vertical scale is too big or too small, or skips numbers, or doesn’t start at zero.. The graph isn’t labeled properly.. Data is left out.. But some real life misleading graphs go above and beyond the classic types. Some are intended to mislead, others are intended to shock. And in some cases, well-meaning individuals just got it all plain wrong. These are some of my favorite recent-history misleading graphs from real life.. 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 . The telephone numbers in a phone book?. QUALITATIVE or QUANTITATIVE?. The telephone numbers in a phone book?. QUALITATIVE. QUALITATIVE or QUANTITATIVE?. The telephone numbers in a phone book?. QUALITATIVE. 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 . Stanley Pogrow. stanpogrow@att.net. Professor of Educational Leadership and Equity at San Francisco State University, Professor Emeritus at the University of Arizona, and visiting endowed chairs at USC and Seattle University. . 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.