ExploreLearning Gizmos - 世界杯2022赛程表比赛直播

This correlation lists the recommended Gizmos for this state's curriculum standards. Click any Gizmo title below for more information.

PS.SPCR: : Conditional Probability and Rules of Probability

PS.SPCR.1: : Describe events as subsets of a sample space and

PS.SPCR.2: : Use the multiplication rule to calculate probabilities for independent and dependent events. Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent.

PS.SPCR.3: : Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B.

PS.SPCR.4: : Construct and interpret two-way frequency tables of data when two categories are associated with each object being classified. Use the two-way table as a sample space to decide if events are independent and to approximate conditional probabilities.

PS.SPCR.5: : Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations.

PS.SPCR.6: : Calculate the conditional probability of an event A given event B as the fraction of B’s outcomes that also belong to A, and interpret the answer in terms of the model.

PS.SPCR.7: : Apply the Addition Rule and the Multiplication Rule to determine probabilities, including conditional probabilities, and interpret the results in terms of the probability model.

PS.SPCR.8: : Use permutations and combinations to solve mathematical and real-world problems, including determining probabilities of compound events. Justify the results.

PS.SPMJ: : Making Inferences and Justifying Conclusions

PS.SPMJ。1: : Understand statistics and sampling distributions as a process for making inferences about population parameters based on a random sample from that population.

PS.SPMJ。2: : Distinguish between experimental and theoretical probabilities. Collect data on a chance event and use the relative frequency to estimate the theoretical probability of that event. Determine whether a given probability model is consistent with experimental results.

PS.SPMJ。3: : Plan and conduct a survey to answer a statistical question. Recognize how the plan addresses sampling technique, randomization, measurement of experimental error and methods to reduce bias.

PS.SPMJ。4: : Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

PS.SPMJ。6:: pu索赔和评估的结论blished reports or articles based on data by analyzing study design and the collection, analysis, and display of the data.

PS.SPID: : Interpreting Data

PS.SPID。1: : Select and create an appropriate display, including dot plots, histograms, and box plots, for data that includes only real numbers.

PS.SPID。2: : Use statistics appropriate to the shape of the data distribution to compare center and spread of two or more different data sets that include all real numbers.

PS.SPID。3: : Summarize and represent data from a single data set. Interpret differences in shape, center, and spread in the context of the data set, accounting for possible effects of extreme data points (outliers).

PS.SPID。4: : Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.

PS.SPID。5: : Analyze bivariate categorical data using two-way tables and identify possible associations between the two categories using marginal, joint, and conditional frequencies.

PS.SPID。6: : Using technology, create scatterplots and analyze those plots to compare the fit of linear, quadratic, or exponential models to a given data set. Select the appropriate model, fit a function to the data set, and use the function to solve problems in the context of the data.

PS.SPID。7::找到使用值符合线性模型nd regression methods to make predictions. Interpret the slope and intercept of a linear model in the context of the data.

PS.SPID。8: : Compute using technology and interpret the correlation coefficient of a linear fit.

PS.SPID。9: : Differentiate between correlation and causation when describing the relationship between two variables. Identify potential lurking variables which may explain an association between two variables.

PS.SPID。10: : Create residual plots and analyze those plots to compare the fit of linear, quadratic, and exponential models to a given data set. Select the appropriate model and use it for interpolation.

PS.SPMD: : Using Probability to Make Decisions

PS.SPMD.1: : Develop the probability distribution for a random variable defined for a sample space in which a theoretical probability can be calculated and graph the distribution.

PS.SPMD.2: : Calculate the expected value of a random variable as the mean of its probability distribution. Find expected values by assigning probabilities to payoff values. Use expected values to evaluate and compare strategies in real-world scenarios.

PS.SPMD.3: : Construct and compare theoretical and experimental probability distributions and use those distributions to find expected values.

PS.SPMD.4: : Use probability to evaluate outcomes of decisions by finding expected values and determine if decisions are fair.

PS.SPMD.5: : Use probability to evaluate outcomes of decisions. Use probabilities to make fair decisions.

PS.SPMD.6: : Analyze decisions and strategies using probability concepts.

Correlation last revised: 9/16/2020

South Carolina - Mathematics: Probability and Statistics

SC--College- and Career-Ready Standards | Adopted: 2015

PS.SPCR: : Conditional Probability and Rules of Probability

PS.SPMJ: : Making Inferences and Justifying Conclusions

PS.SPID: : Interpreting Data

PS.SPMD: : Using Probability to Make Decisions