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Unit: Module 2: Descriptive statistics

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Topic A: Lesson 1: Dot plots and histograms

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Creating dot plotsGet 3 of 4 questions to level up!
Reading dot plots & frequency tablesGet 3 of 4 questions to level up!
Create histogramsGet 3 of 4 questions to level up!
Read histogramsGet 3 of 4 questions to level up!

Topic A: Lesson 1: Box plots and shape

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Creating box plotsGet 3 of 4 questions to level up!
Reading box plotsGet 3 of 4 questions to level up!
Shape of distributionsGet 3 of 4 questions to level up!

Quiz 1

Level up on the above skills and collect up to 560 Mastery points

Topic A: Lesson 2: Describing the center of a distribution

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Mean, median, and modeGet 5 of 7 questions to level up!
Calculating the meanGet 3 of 4 questions to level up!
Calculating the medianGet 3 of 4 questions to level up!

Topic A: Lesson 3: Estimating centers and interpreting the mean as a balance point

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Calculating the mean: data displaysGet 3 of 4 questions to level up!
Calculating the median: data displaysGet 3 of 4 questions to level up!
Effects of shifting, adding, & removing a data pointGet 3 of 4 questions to level up!
Missing value given the meanGet 3 of 4 questions to level up!

Quiz 2

Level up on the above skills and collect up to 560 Mastery points

Topic B: Lesson 4: Summarizing deviations from the mean

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Comparing data distributionsGet 3 of 4 questions to level up!
Comparing center and spreadGet 5 of 7 questions to level up!
Mean absolute deviation (MAD)Get 3 of 4 questions to level up!

Topic B: Lessons 5-6: Standard deviation and variability

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Sample and population standard deviationGet 3 of 4 questions to level up!

Quiz 3

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Topic B: Lesson 7: Measuring variability for skewed distributions (interquartile range)

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Interquartile range (IQR)Get 3 of 4 questions to level up!
Interpreting quartilesGet 3 of 4 questions to level up!
Identifying outliersGet 3 of 4 questions to level up!

Topic B: Lesson 8: Comparing distributions

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Comparing distributionsGet 3 of 4 questions to level up!
Comparing data displaysGet 3 of 4 questions to level up!

Quiz 4

Level up on the above skills and collect up to 400 Mastery points

Topic C: Lessons 9-10: Bivariate categorical data

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Create two-way frequency tablesGet 3 of 4 questions to level up!
Read two-way frequency tablesGet 3 of 4 questions to level up!
Create two-way relative frequency tablesGet 3 of 4 questions to level up!
Analyze two-way frequency tablesGet 3 of 4 questions to level up!

Topic C: Lesson 11: Conditional relative frequencies and association

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Interpret two-way tablesGet 3 of 4 questions to level up!
Trends in categorical dataGet 3 of 4 questions to level up!

Quiz 5

Level up on the above skills and collect up to 480 Mastery points

Topic D: Lessons 12-13: Relationships between two numerical variables

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Constructing scatter plotsGet 3 of 4 questions to level up!
Positive and negative linear associations from scatter plotsGet 3 of 4 questions to level up!

Topic D: Lesson 14: Modeling relationships with a line

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Practice

Eyeballing the line of best fitGet 3 of 4 questions to level up!
Describing trends in scatter plotsGet 3 of 4 questions to level up!
Estimating equations of lines of best fit, and using them to make predictionsGet 3 of 4 questions to level up!
Interpreting slope and y-intercept for linear modelsGet 3 of 4 questions to level up!

Quiz 6

Level up on the above skills and collect up to 480 Mastery points

Topic D: Lessons 15-18: Residuals

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Practice

Calculating and interpreting residualsGet 3 of 4 questions to level up!
Residual plotsGet 3 of 4 questions to level up!

Topic D: Lesson 19: Interpreting correlation

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Correlation coefficient intuitionGet 3 of 4 questions to level up!

Quiz 7

Level up on the above skills and collect up to 240 Mastery points

Up next for you:

Unit test

Level up on all the skills in this unit and collect up to 3800 Mastery points!

About this unit

"In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades." Eureka Math/EngageNY (c) 2015 GreatMinds.org