2023-2024 WAG AP Statistics Week 2
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University of Texas, Rio Grande Valley *
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Course
101
Subject
Mathematics
Date
Jan 9, 2024
Type
docx
Pages
1
Uploaded by MegaRavenMaster937
CAMPUS:
Science Academy
DEPARTMENT:
MATHEMATICS
TEACHER:
Mardonnia Silva
SUBJECT:
AP STATISTICS
GRADE:
11
th
to 12
th
WEEK:
August 14 to 18, 2023
Monday
Tuesday/Wednesday
Thursday/Friday
AP STATISTICS COURSE SKILLS:
2
A, 2B, 2C, 4B
SMART Goals:
By the end of the lesson, students will be able to
differentiate between discrete and continuous quantitative
variables, calculate measures of central tendency, and
describe the spread of data using measures of variability.
ELPS:
Students will apply academic vocabulary and syntax to
express information and ideas effectively.
AP STATISTICS COURSE SKILLS:
2D
SMART Goals:
By the end of the lesson, students will be able to compare and
contrast distributions using box plots, histograms, and dot
plots, and identify outliers.
ELPS:
Students will read, interpret, and evaluate complex texts and
visual representations.
AP STATISTICS COURSE SKILLS:
SMART Goals:
By the end of the lesson, students will be able to demonstrate
their understanding of the key concepts and skills by
completing the BOY assessment for AP Statistics.
ELPS:
Students will apply critical-thinking skills to solve problems and
make informed decisions.
Content Objective:
Students will understand the characteristics and
representations of quantitative variables.
Language Objective:
Students will use appropriate academic vocabulary to
describe and compare quantitative variables.
Content Objective:
Students will understand how to compare and analyze different
distributions of data.
Language Objective:
Students will use appropriate academic vocabulary to describe
and compare distributions.
Content Objective:
Students will assess their knowledge of the topics that
will be covered in the course.
Language Objective:
Students will use appropriate academic language to explain
their reasoning and solve statistical problems
Do Now:
Provide students with a data set and ask them to identify
whether the variable is discrete or continuous.
Do Now:
Display multiple visual representations of data and ask students
to identify any patterns or outliers.
Do Now:
Students will prepare for the BOY test.
Direct Teach:
Quantitative Variable
Direct Teach:
Comparing Distributions
Direct Teach:
NA
Application:
Introduce measures of central tendency (mean, median,
mode) and measures of variability (range, interquartile range,
standard deviation).
Demonstrate how to calculate these
measures using sample data.
Application:
Teach students how to create and interpret box plots,
histograms, and dot plots. Provide real-world scenarios where
these graphical representations are useful.
Application:
NA
Differentiation:
Provide visual representations of the data for visual learners.
Scaffold the calculation of measure of central tendency and
variability by providing step-by-step instructions.
Differentiation:
Provide sentence frames for ELL to help them describe and
compare distributions. Use a variety of datasets with different
characteristics to engage students with different learning
styles.
Differentiation:
Provide extra support and guidance to struggling students.
Encourage students to ask questions and clarify any
misunderstandings.
Assessment:
Have students analyze a given data set and calculate the
mean, median, mode, range, and standard deviation.
Evaluate their understanding based on the accuracy of their
calculations and appropriateness of their interpretations.
Assessment:
Give students a set of distributions represented by boxplots,
histograms, or dot plots and ask them to compare and contrast
the distributions, identify any outliers, and explain their
reasoning.
Assessment:
BOY will be used as a formative assessment to gauge students’
understanding of the topics that will be covered. Identify areas
of weaknesses that need further instruction.
Exit Ticket:
Explain the difference between discrete and continuous
quantitative variables and provide an example of each.
Exit Ticket:
Ask students to describe one similarity and one difference
between box plots and histograms.
Exit Ticket:
Ask students to reflect on their performance on the BOY and
write down one concept or skill they feel confident about and
one that they would like to review further.
Homework:
Assign a set of practice problems that involves calculating
measures of central tendency and variability.
Homework:
Assign a set of practice problems that involves comparing
distributions using various graphical representations.
Homework:
Provide students with AP-style practice questions for additional
practice. Encourage them to explore the College Board’s AP
Statistics released exams and scoring guide for further practice.
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