# Playlists: Statistics & Probability

## 6.SP.1-6.SP.3

Develop Understanding Of Statistical Variability.

6.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.
6.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.
6.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.

### Developing Understanding of Statistical Variability

For four days, the teacher will use 2010 Census Statistical Data, videos, and interactive games to help students transfer elementary understanding of measures of center (mean, median, mode) and variation (range) to solve real-life problems.  The teacher will use the 2010 Census videos and infor...

Standards: 6.SP.1

6.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.
6.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.
6.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.
6.SP.2

6.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.
6.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.
6.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.
6.SP.3

6.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.
6.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.
6.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.

## 6.SP.4-6.SP.5.d

Summarize And Describe Distributions.

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.

### Mean, Median, Range, and Mode

The purpose/focus of this playlist is to review mean, median, and mode.Bitesize: Measures of AverageStudents watch a video that explains how to find the mode, median, mean, and range of data sets and have one practice problem for each average type.Mode, Median, Mean, Range (BBC)Students practice fin...

Standards: 6.SP.5.c

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.

### Using Data to Summarize and Describe Situations

Over the course of seven days, students will use interactive math tools and online practice to summarize and describe statistical situations through interpretation and creation of different types of graphs.Over the course of seven days, students will use interactive math tools and online practice to...

Standards: 6.SP.4

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.
6.SP.5

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.
6.SP.5.a

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.
6.SP.5.b

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.
6.SP.5.c

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.
6.SP.5.d

6.SP.4 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5 Summarize numerical data sets in relation to their context, such as by:
6.SP.5.a Reporting the number of observations.
6.SP.5.b Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.c 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.
6.SP.5.d 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.

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