Concept 1:
Samples & Inferences 
Standards: 

TCV.7.SP.1 (1) Examine the statistics of a sample of a
population to gain information about the entire population.

TCV.7.SP.1 (2) Describe why random sampling must
be representative of a population in order to support valid
inferences.

TCV.7.SP.2 (1) Use data from a random sample to draw
inferences about a population with an unknown characteristic
or interest.

Essential Questions: 

In what ways are sample statistics related to the
corresponding population parameters?

What conclusions can be drawn from data?

How can I describe the center of a set of data?

Key Vocabulary: 
Grouped frequency table
histogram measures of center
mean mean absolute deviation
median stemandleaf plot
outlier mutually exclusive
sample simple random sampling 
Resources: 

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Concept 2: Variance & Inferences 
Standards: 

TCV.7.SP.2 (2) Generate multiple samples (or simulated
samples) of the same size to gauge the variation in estimates
or predictions.

CC.7.SP.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.

CC.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 Questions: 

What conclusions can be drawn from data?

How can I describe the center of a set of data?

How can I describe the variation within a data
set?

How can I use data to compare different groups?

Key Vocabulary: 
maximum value
frequency minimum value
range box & whisker plot
measures of spread interquartile range 
Resources: 

Guess the Ages
 GPS Coach Book Lesson 29
 GPS Coach Book Lesson 33 (box & whisker
only)

CCGPS Frameworks Travel
Times to Work
Student 
Teacher

CCGPS Frameworks
Emergency 911! Bay City
Student

Teacher
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