Embedded Files
This year we will complete the Reveal Math Modules in order:
Module 1 - Ratios and Rates - COMPLETED
Module 2 - Fractions, Decimals, and Percents - COMPLETED
Module 3 - Compute with Multi-Digit Numbers and Fractions - COMPLETED
Module 4 - Integers, Rational Numbers, and The Coordinate Plane - COMPLETED
Module 5 - Numerical and Algebraic Expressions - COMPLETED
Module 6 - Equations and Inequalities - COMPLETED
Module 7 - Relationships Between Two Variables - COMPLETED
Module 8 - Area - COMPLETED
Module 9 - Volume and Surface Area - COMPLETED
Module 10 - Statistical Measures and Displays - COMPLETED
CURRENT MODULE
Module 10 - Statistical Measures and Displays
Log onto the McGraw Hill App through Clever to access online resources.
Current Learning Targets
Module 10 - Statistical Measures and Displays
Learning Target 1 (SP.1) Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.
I can identify the difference between a statistical and non-statistical question.
Learning Target 2 (SP.2) Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
I can describe statistical data’s centers in terms of mean, median, and mode.
I can describe statistical data’s spread in terms of extremes, clusters, gaps, and outliers.
I can describe overall shape of a data set in terms of symmetry and skewness.
Learning Target 3 (SP.3) Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
I can recognize that a measure of center for a data set is summarized by a single number.
I can recognize that a measure of variation describes how its values vary with a single number.
Learning Target 4 (SP.4) Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
I can organize and display data on a dot plot.
I can organize and display data on a histogram.
I can organize and display data on a box plot.
Learning Target 5 (SP.5a) Reporting the number of observations.
I can report the number of observations in a numerical data set.
Learning Target 6 (SP.5b) Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
I can describe what is being investigated and how the data was gathered.
I can justify the appropriateness of the process used for data collection.
I can choose an appropriate unit of measurement for the investigation.
I can explain the importance of the unit of measurement used in the investigation.
I can identify and describe the attribute being measured.
Learning Target 7 (SP.5c) Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
I can compute measures of center including mean and median.
I can compute measures of variation including interquartile range and mean absolute deviation.
I can describe any overall patterns of data including striking deviations from the overall pattern (outliers).
Learning Target 8 (SP.5d) Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
I can determine the most appropriate measure of center or variability to describe the set of data.
Page updated
Report abuse