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Math
Oklahoma Math
Pre-Algebra (PA): Data & Probability (D)
Describe the impact that inserting or deleting a data point has on the mean and the median of a data set. Create data displays using technology to examine this impact.
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Explain how outliers affect measures of center and spread.
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Collect, display, and interpret data using scatter plots. Use the shape of the scatter plot to find the informal line of best fit, make statements about the average rate of change, and make predictions about values not in the original data set. Use appropriate titles, labels, and units.
- Clusters in scatter plots
- Constructing a scatter plot
- Constructing scatter plots
- Describing trends in scatterplots
- 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
- Interpreting slope and y-intercept for linear models
- Line of best fit: smoking in 1945
- Making appropriate scatter plots
- Positive and negative linear associations from scatter plots
- Scatter plot: smokers
Calculate experimental probabilities and represent them as percents, fractions, and decimals between 0 and 1. Use experimental probabilities to predict relative frequencies when actual probabilities are unknown.
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Determine how samples are chosen (randomness) to draw and support conclusions about generalizing a sample to a population, including identifying limitations and biases.
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Define, compare, and contrast the probabilities of dependent and independent events.
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