PPT-Organizing & Displaying Data
Author : briana-ranney | Published Date : 2017-10-03
TEKS and SEs B2E Analyze data to formulate reasonable explanations communicate valid conclusions supported by the data and predict trends B2G analyze evaluate make
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Organizing & Displaying Data: Transcript
TEKS and SEs B2E Analyze data to formulate reasonable explanations communicate valid conclusions supported by the data and predict trends B2G analyze evaluate make inferences and predict trends from data. brPage 1br Email not displaying correctly brPage 2br 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 The following bar graph compares women’s and men’s hourly wages in a recent year. What percent of women ages 20 to 24 earned $7.50 or less per hour?. MATH 110 Sec 14.1 Statistics-Organizing & Visualizing Data Practice Exercises . 2of data consists of Result . Interpretation . Dr. . Nawaporn. . Wisitpongphan. What do you want to present depends on what you want to do!. What you want to do depends on what you want to . present!!!. Result Presentation. July 23, 2015. WELCOME. Reminders: . Please mute your device once you join the call. Remember to raise your hands for questions or write a message in text box. We will give everyone a chance to ask questions at the end of the presentation. 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”. Strengthening, Evaluating, and Funding The Impact of Youth Organizing on Individual Young People. March 21, 2017. FCYO Capacity Building Projects. Goals:. Provide technical assistance to a cohort of 8-10 groups. 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 . 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.. Lecture 5. Hartmut Kaiser. hkaiser@cct.lsu.edu. http://www.cct.lsu.edu/˜. hkaiser. /spring_2015/csc1254.html. Abstract. We will discuss functions as the main means of organizing computation. We rework the student grades example to be . 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 . So what is POWER?. Power is the ability to act.. Power is not good or bad. It is how you use it and toward what end.. Power unchecked or unaccountable can corrupt – it can also reveal…. Power is not a zero sum game – there is not a limited amount..
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