Strengthening Mathematics/Quantitative Reasoning | Big Picture - Personalized Learning One Student at a Time - an innovative education alternative Mathematics and quantitative reasoning are challenging areas for many alternative schools, and Big Picture Learning (BPL) currently is undertaking an extended redesign of our curriculum and teaching practices in this area. Our approach is to bring strengthened academics to what is relevant to the student as distinct from prevailing designs that attempt to bring relevance to academics. Ultimately, we believe our work can meld these two approaches.Click here for full prospectus. Quantitative reasoning is one of the five Big Picture Learning Goals: How do I measure or represent it? Empirical reasoning is one of the five Big Picture Learning Goals: How do I prove it? BPL proposes to develop QR Quest, a highly innovative and interactive web-based portal containing a myriad of engaging resources designed to significantly improve students’ quantitative reasoning and mathematics skills and understandings. Goals and Objectives Our goals for this work are to: Resources Required
The Math Worksheet Site.com Presidential Libraries Podcast Presidential Archives Uncovered Listen to the voices of the Presidents! In these historical clips from the Libraries' collections, you'll hear Presidents Hoover, Roosevelt, Truman, Eisenhower, Kennedy, Johnson, Nixon, Ford, Carter, Reagan, Bush, and Clinton talk about serious policy issues with their advisors, address the nation, or have conversations with friends and family members. Nixon Reflects on China Trip After returning from China in 1972, President Nixon explained to a group of Congressional leaders, in the Cabinet Room of the White House, the importance of restoring communication with China as a way of mitigating suspicion and miscalculation, which could lead to war. Establishing the Peace Corps Kennedy asked his brother-in-law, R. Johnson and the Great Society This episode features a number of audio clips from the Johnson Presidential Library and Museum. Peace Corps, CIA, and the Foreign Service In the following telephone conversation between President Kennedy and R. Top of Page
1.2 - Discrete Data Types and Examples | STAT 504 - Analysis of Discrete Data Printer-friendly version Categorical/Discrete/Qualitative data Measures on categorical or discrete variables consist of assigning observations to one of a number of categories in terms of counts or proportions. The categories can be unordered or ordered (see below). Counts and Proportions Counts are variables representing frequency of occurrence of an event: Number of students taking this class.Number of people who vote for a particular candidate in an election. Proportions or “bounded counts” are ratios of counts: Number of students taking this class divided by the total number of graduate students.Number of people who vote for a particular candidate divided by the total number of people who voted. Discretely measured responses can be: We we learn and evaluate mostly parametric models for these responses. Measurement Scale and Context Interval variables have a numerical distance between two values (e.g. income) Measurement hierarchy: Example: Grades Context is important! Did you get a flu?
RStats Resources Statistics Tutoring Undergraduate students who need assistance with statistics homework can receive one-on-one tutoring through Missouri State University's Bear CLAW (Center for Learning and Writing). Click here to access Bear CLAW Statistics Tutoring. Instructional Videos Tables and Calculators Click here to access: Normal Distribution TableT Distribution TableCritical Pearson's r ValuesF Distribution TableChi Square Distribution Table and CalculatorCohen's D Effect Size Calculator Notes from Previous RStats Workshops Information About RStats
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