Unit 7: Data Collection and Analysis
**This unit should take approximately 11 instructional days**
7.SP.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.2Use data from 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.3Informally 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.4 Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Essential unit :
bar graph
box plot
categorical data
cluster
data
distribution
dot plot/line plot
five number summary
frequency table
gap
histogram
interquartile range
mean
mean absolute deviation
measures of center
measures of spread
median
mode
numerical (quantitative) data
outliers
peak
random sample
range
representative sample
statistics
variability
**This unit should take approximately 11 instructional days**
7.SP.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.2Use data from 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.3Informally 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.4 Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Essential unit :
bar graph
box plot
categorical data
cluster
data
distribution
dot plot/line plot
five number summary
frequency table
gap
histogram
interquartile range
mean
mean absolute deviation
measures of center
measures of spread
median
mode
numerical (quantitative) data
outliers
peak
random sample
range
representative sample
statistics
variability