Lessons:
Isolation Drills:
TenMarks Assignment:
 6.SP.1 Recognizing Statistical Questions
6.SP.A.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.
Lessons:
 Find the mean by equally distributing objects
 Find the median by elimination
 Find range using graphs and charts
 Describe the shape of a dot plot
 Identify clusters, peaks and gaps in a dot plot
Isolation Drills:
TenMarks Assignment:

6.SP.2 Describe Data Distribution: Use Center/Spread/Shape
6.SP.A.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.
Lessons:
 Express mean, median, and mode
 Distinguish between measure of center and measure of variance
 Solve a realworld problem involving measures of center and variance
 Identify clusters, peaks and gaps in a dot plot
 Summarize the center of data with a single number using mean, median,…
 Summarize the spread of data using range and mean absolute deviation
Isolation Drills:
TenMarks Assignment:
 6.SP.3 Recognize Measures of Center & Measures of Variation
6.SP.B.4Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Lessons:
 Construct a dot plot
 Construct a box plot
 Choose the best graph for a data set using measures of center
Isolation Drills:
TenMarks Assignment:
 6.SP.4 Displaying Numerical Data
6.SP.B.5 Summarize numerical data sets in relation to their context Reporting the number of observations and describing the nature of the attribute under investigation, including how it was measured and its units of measurement. 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. 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.
Lessons:
 Determine the number of observations in a set of data by looking at h…
 Describe attributes of a data set by analyzing line plots, histograms…
 Describe the spread of data by finding range, interquartile range, an…
 Describe a data set
 Determine the number of observations in a set of data by looking at h…
 Determine fair shares by finding the mean
 Summarize a data set using the mean, median, and mode
 Describe patterns in data sets
 Describe a data set using measures of variability
 Describe the spread of data by finding range, interquartile range, an…
 Describe a data set
 Determine fair shares by finding the mean
 Summarize a data set using the mean, median, and mode
 Describe patterns in data sets
 Describe a data set using measures of variability
Isolation Drills:
 Data set warmup
 Calculating the interquartile range (IQR)
 Calculating the mean
 Calculating the mean absolute deviation (MAD)
 Calculating the mean from data displays
 Calculating the median
 Calculating the median from data displays
 Find a missing value given the mean
 Interpreting quartiles
 Mean, median, and mode
 Median and range puzzlers
 Exploring mean and median
TenMarks Assignment:
 6.SP.5a Identify: Observation Numbers Based on a Data Display
 6.SP.5b Attributes of Data Displays
 6.SP.5c Find: Measures of Center and Variability of Data Sets
 6.SP.5d Measures of Center and Variability: Shape Data Display
7.SP.17.SP.4 Syllabus
Standards:
7.SP.A.1Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
7.SP.A.2 Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions.
7.SP.B.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.
7.SP.B.4 Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Lesson Videos:
Data, statistics, and probability
Isolation Drills:
Grade 7: Statistics and Probability
TenMarks: