Standard 5 : Interpreting Results (Archived)



This document was generated on CPALMS - www.cpalms.org

Gather data and determine confidence intervals to make inferences about means, and use hypothesis tests to make decisions. Learn to use data to approximate p-values and to determine whether correlations between variables are significant.

General Information

Number: MA.912.S.5
Title: Interpreting Results
Type: Standard
Subject: X-Mathematics (former standards - 2008) - Archived
Grade: 912
Body of Knowledge: Statistics

Related Benchmarks

This cluster includes the following benchmarks
Code Description
MA.912.S.5.1: Analyze the relationship between confidence level, margin of error, and sample size.
MA.912.S.5.2: Apply the general principles of hypothesis testing.
MA.912.S.5.3: Explain and identify the following: null hypothesis, alternative hypotheses, Type I error, and Type II error.
MA.912.S.5.4: Explain the meaning of p-value and its role in hypothesis testing.
MA.912.S.5.5: Perform hypothesis tests of means and proportions for large samples, using simulations to determine whether a sample mean (proportion) has a low likelihood of occurring.
MA.912.S.5.6: Interpret the results of hypothesis tests of means and proportions, and make decisions based on p-values of test.
MA.912.S.5.7: Use simulations to approximate the p-value of a correlation coefficient, and use the results to determine whether the correlation between two variables is significant.
MA.912.S.5.8: Use a regression line equation to make predictions.
MA.912.S.5.9: Interpret the coefficient of determination, r², for a least-squares regression.