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Oscar Winner -- Data Analysis & Statistics Inquiry - 21st Century Math Project

Rated 4.81 out of 5, based on 123 reviews
4.8 (123 ratings)
;
Clark Creative Math
17.4k Followers
Grade Levels
6th - 12th
Resource Type
Standards
Formats Included
  • Zip
  • Google Apps™
Pages
13 pages
$4.80
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$6.00
You Save:
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$4.80
List Price:
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You Save:
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Clark Creative Math
17.4k Followers
Includes Google Apps™
The Teacher-Author indicated this resource includes assets from Google Workspace (e.g. docs, slides, etc.).

What educators are saying

I really loved this activity! Helped students focus on some real-world data using a very engaging topic. The kids had some great discussions with this one!
My students really enjoy using real data for our data analysis unit. They love using data with actors/actresses they recognize. Thank you!
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Description

Utilize the last twenty years of Oscar winners as a data set to guide your students through creating box and whisker plots, histograms, and exploring mean, median, and mode -- in one 21st Century Math Project!

Does the age of the award winning star in a film relate to the overall gross of the movie? Student will explore this inquiry question and use the data to support their conclusion.

In this 8 page document you will be given a mapping to the Content Standards, an outline for how to implement the project, and handout resources for students to use. ***THIS PRODUCT HAS BEEN UPDATED WITH A GOOGLE SLIDES INTERACTIVE VERSION INCLUDED. REDOWNLOAD IF YOU HAVE IT ALREADY***

-- In "And the Oscar Goes to...", students will use Academy Award Winner Data to complete box and whisker plots. The focus of the task is on the age of the winners and students are attempting to answer if it is more likely for an older man or an older woman to win an Oscar.

-- In "Red Carpet Analysis" students will use Academy Award Winner Data to determine central tendency, construct stem and leaf plots, and construct histograms of different variables.

-- In "Oscar Winner Inquiry", student will use Academy Award Winner Data in an attempt to answer the question: “Does the age of the award winning star in a film relate to the overall gross of the movie?”

You may be interested in the following discounted bundles. SAVE $$$!

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Total Pages
13 pages
Answer Key
Included
Teaching Duration
3 days
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Standards

to see state-specific standards (only available in the US).
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?

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