Unit 9: Data and Stats Updated 9.1 Central Tendencies: mean median and mode Students go over the vocabulary and how to find each average with examples. Notes are scaffolded. Includes hook video hyperlinked on the "learning objective" title. Key is included and hyperlinked as a PDF in the heading highlighted in the orange box, and at the bottom of the google doc as well. Google doc is editable, used in M1 HS
Unit 9: Data and Stats: Updated (No 9.3/ Skip) 9.7 Frequency Tables Students go over the vocabulary and complete the examples with the vocabulary scaffolded. Students examine a categorical table/frequency table and also use that information to create relative frequency tables. Different real-world examples and problems are used. Emphasized how percents and decimals are calculated. Notes are scaffolded. Includes hook video hyperlinked on the "learning objective" title. Key is included and hype
Unit 9: Data and Stats: Updated (No 9.3/ Skip) 9.4 A 5-number summary and box and whisker plot Students go over the vocabulary ad complete the examples with the vocabulary scaffolded. for each statistic with an explanation of the purpose of the 5 number summary and why these are used. Notes are scaffolded. Includes hook video hyperlinked on the "learning objective" title. Key is included and hyperlinked as a PDF in the heading highlighted in the orange box, and at the bottom of the google doc a
Unit 9: Data and Stats: Updated (No 9.3/ Skip) 9.4 B Standard DeviationStudents go over the vocabulary and complete the examples with the vocabulary scaffolded. Standard deviation is long hand calculated by showing each step of the process (difference of squares). Real-world examples are explained in notes before calculating to show the importance of this stat and why it is used so often to verify valuable and effective data. Notes are scaffolded. Includes hook video hyperlinked on the "learning
Unit 9: Data and Stats: Updated (No 9.3/ Skip) 9.5/9.6 Data Distribution (skewness)Students go over the vocabulary and complete the examples with the vocabulary scaffolded. Skewness is explained and how to identify it comparing data charts and box and whisker plots. Uses many visuals and examples to differentiate between that different graphs. Notes are scaffolded. Includes hook video hyperlinked on the "learning objective" title. Key is included and hyperlinked as a PDF in the heading highligh