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It strengthens statistics comprehension through just-in-time remediation in order of operations, expressions, fractions, decimals, percent, proportion, coordinates, slope, graphing linear equations, and dimensional analysis. Learners define observational vs. experimental studies, identify populations and samples, name variables, recognize sampling techniques and bias, and evaluate study quality. 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Students apply remedial mathematics topics such as order of operations, radical expressions, fractions, decimals, percent, proportion, coordinates, slope, graphing of linear equations, basic dimensional analysis, mathematical phrasing and study skills just-in-time to strengthen comprehension of statistics concepts. This course requires co-enrollment with MATH-1410 Elementary Probability and Statistics I.  \nCredit Hour(s):  \n3  \nLecture Hour(s):  \n3  \nRequisites  \nPrerequisite and Corequisite  \nMATH-0915 Basic Arithmetic and Pre-algebra or qualified math placement to enroll in MATH-0955 Beginning Algebra; and ENG-0995 Applied College Literacies, or appropriate score on English placement test to enroll in ENG-1010 College Composition I; and concurrent enrollment in MATH-1410 Elementary Probability and Statistics I.  \nNote: MATH-0910 Pre-Algebra and Basic Arithmetic Beginning Algebra I taken prior to Fall 2024 and ENG-0990 Language Fundamentals II taken prior to Fall 2021 will also meet prerequisite requirements.  \nOutcomes  \nCourse Outcome(s):  \nIdentify the characteristics of a well-designed statistical study and be able to critically evaluate aspects of a study.  \nObjective(s):  \n1. Define observational and experimental studies.  \n2. Apply library resources for finding statistical information.  \n3. Identify place values.  \n4. Round decimals.  \n5. Read a problem and determine the population of interest and sample.  \n6. Use dimensional analysis to differentiate between the English and metric measurement systems.  \n7. Use dimensional analysis to identify the base units of measurement in the English and metric measurement systems.  \n8. Practice naming variables and the population of interest.  \n9. Identify appropriate units of measure for various situations.  \n10. Explore different sampling techniques.  \n11. Summarize different types of bias and determine where they can be present.  \n2 MATH-0970: Essential Skills for Probability and Statistics  \n12. Distinguish confounding scenarios.  \n13. Critique poor case studies.  \n14. Contrast poor case studies with ones that were better conducted.  \n15. Differentiate between correlation and causation, and how to describe, identify, and interpret them from statistical studies..  \n16. Demonstrate use of technology for entering data into a spreadsheet using Excel, Desmos, or another statistical computing program.  \n\n| Course Outcome(s):\u003Cbr>Use and practice the foundational and theoretical skills required for describing and interpreting data.\u003Cbr>Objective(s):\u003Cbr>1. Simplify expressions using the order of operations.\u003Cbr>2. Compute sums and use appropriate summation symbols.\u003Cbr>3. Compare and contrast measures of center, relative position and dispersion.\u003Cbr>4. Contrast finding the median given an odd or even number of data points.\u003Cbr>5. Differentiate between the formulas for center, relative position, and dispersion.\u003Cbr>6. Associate inequality symbols with the mean and median for skew.\u003Cbr>7. Given a percent, fraction, or decimal, write it in the other two formats.\u003Cbr>8. Identify appropriate units of measure for various situations.\u003Cbr>9. Use dimensional analysis to convert units of from one dimensional unit to another.\u003Cbr>10. Apply dimensional analysis to recognize the first, second and third dimensional units of measure.\u003Cbr>11. Determine the interrelationship of measurement systems and their properties to avoid incompatible units of measure.\u003Cbr>12. Use technology such as Exc","cbCaid0TTM4qdDUN","https://ap.wps.com/l/cbCaid0TTM4qdDUN","pdf",88731,"English","# Course Overview\n## Catalog Description\n## Credit Hours and Lecture Hours\n# Requisites\n## Prerequisite and Corequisite\n## Note on Prior Coursework\n# Outcomes and Objectives\n## Statistical Study Evaluation\n## Study Components: Population, Sample, Variables\n## Bias, Confounding, Correlation, and Causation\n# Technology and Data Handling\n## Spreadsheet and Graphing Tools\n## Graph Presentation and Interpretation\n# Additional Skills\n## Regression, Graphing, and Linear Models\n## Probabilities and Probability Distributions","[{\"question\":\"What is the main purpose of MATH-0970 Essential Skills for Probability and Statistics?\",\"answer\":\"It provides developmental mathematics skills that support students in MATH 1410 by strengthening readiness for statistical concepts, including study evaluation, data interpretation, and related math remediation.\"},{\"question\":\"What types of study designs does the course focus on?\",\"answer\":\"Students define observational and experimental studies and learn to identify relevant population and sample information when reading problems.\"},{\"question\":\"How does the course address correlation versus causation and common study issues?\",\"answer\":\"It requires students to distinguish correlation from causation and to explore bias, confounding scenarios, and how poor case studies differ from better-conducted ones.\"}]","Essential Skills for Probability and Statistics | PDF",1790468345,18]