Основно съдържание
Math
Virginia Math
Grade 8: Probability and Statistics
Determine whether two events are independent or dependent and explain how replacement impacts the probability.
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Compare and contrast the probability of independent and dependent events.
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Determine the probability of two independent events.
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Determine the probability of two dependent events.
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Formulate questions that require the collection or acquisition of data with a focus on boxplots.
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Determine the data needed to answer a formulated question and collect the data (or acquire existing data) using various methods (e.g., observations, measurement, surveys, experiments).
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Determine how statistical bias might affect whether the data collected from the sample is representative of the larger population.
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Organize and represent a numeric data set of no more than 20 items, using boxplots, with and without the use of technology.
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Identify and describe the lower extreme (minimum), upper extreme (maximum), median, upper quartile, lower quartile, range, and interquartile range given a data set, represented by a boxplot.
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Describe how the presence of an extreme data point (outlier) affects the shape and spread of the data distribution of a boxplot.
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Analyze data represented in a boxplot by making observations and drawing conclusions.
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Compare and analyze two data sets represented in boxplots.
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Given a contextual situation, justify which graphical representation (e.g., pictographs, bar graphs, line graphs, line plots/dot plots, stem-and-leaf plots, circle graphs, histograms, and boxplots) best represents the data.
Identify components of graphical displays that can be misleading.
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Formulate questions that require the collection or acquisition of data with a focus on scatterplots.
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Determine the data needed to answer a formulated question and collect the data (or acquire existing data) of no more than 20 items using various methods (e.g., observations, measurement, surveys, experiments).
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Organize and represent numeric bivariate data using scatterplots with and without the use of technology.
Make observations about a set of data points in a scatterplot as having a positive linear relationship, a negative linear relationship, or no relationship.
Analyze and justify the relationship of the quantitative bivariate data represented in scatterplots.
Sketch the line of best fit for data represented in a scatterplot.
- Estimating equations of lines of best fit, and using them to make predictions
- Estimating slope of line of best fit
- Estimating the line of best fit exercise
- Estimating with linear regression (linear models)
- Eyeballing the line of best fit
- Fitting a line to data
- Interpreting a trend line
- Line of best fit: smoking in 1945