Algebra 1 Quiz Show Game Tables and Displays in a PowerPoint Presentation
This Quiz Show game, Jeopardy Style, is a great way to review a chapter. There are 25 questions and a scoreboard so you don’t have to write it on a side board. Each page has the point value!
This Quiz Show game covers all of the following:
Scatter Plots and Lines of Fit
8.SP.1, S.ID.6a, S.ID.6c, S.ID.7
Analyzing Lines of Fit
S.ID.6b, S.ID.7, S.ID.8, S.ID.9
Choosing a Data Display
This review lesson applies to the Common Core Standard:
Statistics & Probability 8.SP.1, 8.SP.4
Investigate patterns of association in bivariate data.
1. 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.
4. 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?
High School: Statistics & Probability » Interpreting Categorical & Quantitative Data S.ID.1, S.ID.5, S.ID.6a, S.ID.6b, S.ID.6c, S.ID.7, S.ID.8, S.ID.9
Summarize, represent, and interpret data on two categorical and quantitative variables
1. Represent data with plots on the real number line (dot plots, histograms, and box plots).
5. 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.
6. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
a. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
b. Informally assess the fit of a function by plotting and analyzing residuals.
c. Fit a linear function for a scatter plot that suggests a linear association.
Interpret linear models
7. Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
8. Compute (using technology) and interpret the correlation coefficient of a linear fit.
9. Distinguish between correlation and causation.
The presentation has 53 slides. Use as many or as few of the problems to help your students learn each concept. For more PowerPoint lessons & materials visit Preston PowerPoints
Please note that the PowerPoint is not
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