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Standard Deviation Fillable Notes UPDATED

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Math be Mathing
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Grade Levels
7th - 12th, Higher Education, Adult Education, Homeschool
Standards
Formats Included
  • Google Docs™
Pages
4 pages
$2.70
$2.70
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Math be Mathing
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Also included in
  1. Unit 9: Data and Stats(No 9.3/ Skip)9.1 Central Tendencies: Mean, Median and Mode9.2 Graphical Data: Bar Charts, Dot Plots and Histograms9.3 NONE9.4A 5 number summary and box and whisker plots 9.4B Standard Deviation9.5/9.6 Data Distributions (skewness) left or right9.7 Frequency Tables and relative
    Price $11.50Original Price $11.70Save $0.20

Description

Unit 9: Data and Stats: Updated

(No 9.3/ Skip)

9.4 B Standard Deviation

Students 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 objective" title. Another video is hyperlinked on the word "standard deviation" in blue on doc. 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

Total Pages
4 pages
Answer Key
Included
Teaching Duration
1 hour
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Standards

to see state-specific standards (only available in the US).
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Informally assess the fit of a function by plotting and analyzing residuals.
Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

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