AII.DSP.5 Understand dependent and independent events, and conditional probability apply these concepts to calculate probabilities.Construct a theoretical model and apply the law of large numbers to show the relationship between the two models. AII.DSP.4 Using the results of a simulation, decide if a specified model is consistent to those results.
AII.DSP.3 Use technology to find a linear, quadratic, or exponential function that models a relationship for a bivariate data set to make predictions Interpret the correlation coefficient for linear models.Understand the effects of outliers on the statistical summary of the data. AII.DSP.2 Interpret and compare univariate data using measures of center (mean and median) and spread (range, interquartile range, standard deviation, and variance).AII.DSP.1 Distinguish between random and non-random sampling methods, identify possible sources of bias in sampling, describe how such bias can be controlled and reduced, evaluate the characteristics of a good survey and well-designed experiment, design simple experiments or investigations to collect data to answer questions of interest, and make inferences from sample results.Get it now AII.DSP Data Analysis, Statistics, and Probability
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