All other courses or half courses in Introductory Statistics, except

Students will learn how to visualize and analyze continuous and categorical data from various domains, using modern data science tools. Concepts of distributions, sampling, estimation, confidence intervals, experimental design, inference, correlation will be introduced in a practical, data-driven way.

One or more of Ontario Secondary School MCV4U, MHF4U, MDM4U,

An examination of statistical issues aiming towards statistical literacy and appropriate interpretation of statistical information. Common misconceptions will be targeted. Assessment of the validity and treatment of results in popular and scientific media. Conceptual consideration of study design, numerical and graphical data summaries, probability, sampling variability, confidence intervals and hypothesis tests.

An examination of statistical issues aiming towards statistical literacy and appropriate interpretation of statistical information. Common misconceptions will be targeted. Assessment of the validity and treatment of results in popular and scientific media. Conceptual consideration of study design, numerical and graphical data summaries, probability, sampling variability, confidence intervals and hypothesis tests. Emphasis will be placed on health-related applications.

Statistical inference, experimental design, sampling design, confidence intervals and hypothesis tests for means and proportions, regression and correlation.

Review of mathematical operations and linear equations; introduction to functions; introductory finite mathematics, including combinatorics and probability; introductory financial mathematics, including compound interest and annuities.Antirequisites: Ontario Secondary School MCV4U, Mathematics 0105A/B, or any university-level calculus course.

Ontario Secondary School MCF3M, MCR3U, or equivalent.

the former Applied Mathematics 1412A/B, the former Applied Mathematics 1413.

Introduction to differential calculus including limits, continuity, definition of derivative, rules for differentiation, implicit differentiation, velocity, acceleration, related rates, maxima and minima, exponential functions, logarithmic functions, differentiation of exponential and logarithmic functions, curve sketching.

One or more of Ontario Secondary School MCF3M, MCR3U, or equivalent.

or the former Applied Mathematics 1411A/B.

Matrix algebra including vectors and matrices, linear equations, determinants. This course is intended primarily for students in the Social Sciences, but may meet minimum requirements for some Science modules.

STATS 1024A/B

INTRODUCTION TO STATISTICS

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