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Frequency Tables & Relative Frequency Tables fillable notes UPDATED

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Math be Mathing
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Grade Levels
6th - 12th, Higher Education, Adult Education, Homeschool
Standards
Formats Included
  • Google Docs™
Pages
4 pages
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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
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Description

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 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).
Create equations and inequalities in one variable and use them to solve problems.
Represent data with plots on the real number line (dot plots, histograms, and box plots).
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.
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

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10 Followers