Statistics

Girls-Only & ​All-Gender Course; Prerequisite - Completion of one year of Algebra II; Full-year course
COURSE DESCRIPTION
This course introduces students to the concepts and tools used to collect, organize, analyze, and draw conclusions from data.  Students receive instruction in each of the following competencies: Exploring Data, Sampling and Experimentation, Anticipating Patterns, and Statistical Inference.  Each student will be expected to learn how to articulate methodology, data description, and conclusions and to provide constructive comments to classmates.  Students will develop knowledge through experiential activities that challenge students to design, administer, and tabulate results from surveys and experiments.  Students will often work in small collaborative groups to explore problems and share ideas.  Active participation, in the form of individual and group projects, peer review of student work, and discussion board conversations, are key to student success.  Students may select the AP® or non-AP® track in this course.  AP® students are expected to delve deeper into the topics, take AP®-style assessments, and prepare for the AP® exam in the spring.  
WHAT STUDENTS SAY

"Mrs. Muratore has been such a great teacher and has provided me with a surplus of resources to enable me to better understand the course material. She is prompt and always willing to answer questions or meet with students. I am so fortunate to have had her as my teacher this year."

WHAT STUDENTS DO
Learning is an active process at One Schoolhouse. Students design, create and apply. And, they engage with classmates and connect with their teachers through discussions, video conferences, and projects. Specifically, in this class students will:
  • Set goals that drive their learning. Students reflect regularly on their growth, and meet on video chat with their online teacher to review progress towards their goals.
  • Have choice in how they learn new content and practice new skills. Students are given agency to determine the best ways for them to learn.
  • Apply what they are learning to the real world. Learning is meaningful and connects to concepts outside the classroom.
  • Practice constructive engagement in a diverse and changing world. Students interact with classmates from across the country and around the world.
  • Gain academic maturity. Online learning takes greater discipline and independence than a traditional face-to-face classroom. Teachers support students to build this skill.
MEET A TEACHER FOR THIS COURSE
SIGNATURE ACTIVITIES
Examples of signature activities and projects for this course are:
  • Least Squares Regression and Correlation Project: Students collect quantitative bivariate data on the topic of their choice and investigate the association and possible correlation between the two variables.  Students begin by organizing their sample data, creating a scatterplot of their data, and describing the association in context.  They then fit a least squares regression line to their data, discuss the correlation between the variables, and address the residual plot, as well as other regression components, in context.
  • M&Ms Color Distribution Chi-Square Activity: Students obtain their own bag of M&Ms and examine the color distribution of their individual sample. They research the M&M Mars Company’s claim for the true color distribution of the population of M&Ms, work together with their classmates to compile their sample data, and utilize a Chi-Square Test for Goodness of Fit in order to test the company’s claim.
  • Statistics in the Real World: Interview Project: In this growth segment of R2G2, students spend some meaningful time growing in their knowledge of the real-world applications of Statistics.  Students research a field of their interest in which Statistics is used.  Then, they find and interview someone who works in that field of Statistics or uses Statistics in their everyday job.  They ultimately create a report about their experience and present their findings through the medium of their choice.  ​
COURSE APPROVAL
This course is approved by: the NCAA and the University of California.

Fully accredited with the Middle States Association of Colleges and Schools & the Western Association of Schools and Colleges through December 1, 2025.
Jacqueline Muratore
Mathematics Teacher
B.A., Cornell University
M.A., Columbia University
M.Ed., Columbia University