Algebra 1 section of MathBitsNotebook.com

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You are already familiar with many topics in the study of statistics.
In this unit, we will embellish some of those Refresher topics (+) and introduce new lesson concepts.


blacktriangle indicates compatibility to NY Next Generation Math Standards (NGMS)
Note: "mode" and "population" standard deviation are not included in NGMS.
LESSONS:
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Introduction to Statistics (including 4-step Statistical Process) blacktriangle
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Sigma Notation (new notation needed in statistical formulas) blacktriangle

Data:  
Categorizing Data (Refresher+: quantitative, qualitative, univariate, bivariate)
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Gathering Statistical Data (collecting data, random sampling, sample and populations data) blacktriangle
Biased Data (avoiding bias, recognizing valid data) blacktriangle
Distribution of Statistical Data (center, spread, quartiles, IQR, outliers, SD, shape) blacktriangle

Examining Distribution of Data:  
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Measures of Central Tendency (Refresher+: mean, mode, median, pros, cons, outliers) blacktriangle
Measures of Center (mean, median, balance point, when to use what) blacktriangle

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Measures of Spread (range, IQR, variance, standard deviation, which is best)
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Variance (definition, problem, population/sample data formulas
 
Standard Deviation (definition, normal curve, thinking about SD)
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Calculating Standard Deviation (calculator use, formulas, by-hand) blacktriangle

Graphical Displays of Data:  
Dot Plots (Refresher+: plotting info, example, pros, cons)
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Histograms (Refresher+: compare to bar graphs, types, scaling, pros, cons)
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Box Plots (Refresher+: box plots, five stat summary, w/outliers, shapes/skewed)
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Representing Data Graphically (Refresher: compare hist, dot, box plots same data set)
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Shapes of Distributions (peaks, shapes of histograms, dot plots, box plots)
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Comparing Statistical Graphs blacktriangle


PRACTICE:
Practice Categorizing Data (qualitative, quantitative, univariate, bivariate, biased, unbiased)
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Practice Interpreting Graphs (interpret and compare histograms, dot plots, box plots)
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