CC.2.4.HS.B.3 Analyze linear models to make interpretations based on data – Important Standards Addressed in this Unit: N/A Misconceptions: Arithmetic errors when calculating measures of central tendency Mistakes when calculating variance and standard deviation on a calculator Misinterpreting how to handle outliers in a data set Concepts/Content: Competencies/Skills: Description of Activities: Mean Summarize data measures Direct teacher-led instruction Median Large group Q & A discussion of central tendency such as the Mode Independent student work mean, median, mode, and Midrange Small group collaboration midrange Parameter Online remedial/enrichment videos Describe data using measures of Statistic variation such as the range, Unimodal variance, and standard deviation Bimodal Identify the position of a data Multimodal value in a data set using various Symmetric measures of position such as Skewed percentiles, and quartiles class Use the techniques of Weighted mean exploratory data analysis Range Variance including boxplots and Standard deviation number summaries to discover Quartile various aspects of data Percentile Boxplot Interquartile range (IQR) Outlier Coefficient of variation Five-number summary z-score Empirical rule Assessments: informal questioning
CC.2.4.HS.B.3 – Analyze linear models to make interpretations based on data Important Standards Addressed in this Unit: N/A Misconceptions: Arithmetic errors when calculating measures of central tendency Mistakes when calculating variance and standard deviation on a calculator Misinterpreting how to handle outliers in a data set Concepts/Content: Mean Median Mode Midrange Parameter Statistic Unimodal Bimodal Multimodal Symmetric Skewed class Weighted mean Range Variance Standard deviation Quartile Percentile Boxplot Interquartile range (IQR) Outlier Coefficient of variation Five-number summary z-score Empirical rule Competencies/Skills: Summarize data measures of central tendency such as the mean, median, mode, and midrange Describe data using measures of variation such as the range, variance, and standard deviation Identify the position of a data value in a data set using various measures of position such as percentiles, and quartiles Use the techniques of exploratory data analysis including boxplots and summaries to discover various aspects of data Description of Activities: Direct teacher-led instruction Large group Q & A discussion Independent student work Small group collaboration Online remedial/enrichment videos Assessments: informal questioning number
2017-Intro-Stat-Prob-BHASD-Math-Curriculum.docx