# Stern College Syllabi -- Spring and Fall 2021-2022 courses --- STAT (Statistics)

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Item Restricted STAT 1021J: Introduction to Statistics(Stern College for Women, Yeshiva University, 2022-09) Galuzio, Paulo P; 0000-0001-8751-2807Course Overview ¶Provides students with the fundamental principles of experimental design, statistical and exploratory data analysis and visualization, emphasizing research related to human health and clinical settings. Statistical topics include descriptive statistics, hypothesis testing, analysis of variance, correlation, regression, chi-square test, and nonparametric methods. ¶Course Learning Outcomes By the end of this course, students will be able to: 1. Explain the role of regression models, conduct and interpret inferential statistics and descriptive statistics. 2. Plan and design analyses relevant for life sciences, formulate Null- and Alternative hypotheses and appropriately test these using statistical software. 3. Read, interpret and understand analyses based on texts or statistical outputs. 4. Interact and collaborate with epidemiologists, scientists and statisticians.Item Restricted STAT 1021: Introduction to Statistics(Stern College for Womoen, Yeshiva University, 2022-01) Kim, Kun HoPrerequisite: One semester of college-level algebra¶ STA 1021 introduces students an introductory level of probability and statistical analysis. In comparison to general statistics courses, the course is intended to cover topics more relevant to the areas of economic science. The emphasis in the course will be also on hands-on experience of using course material to analyze real world data. In particular, developing skills essential to empirical analysis of various data should be the main goal of the course.¶ The specific topics of the course include: basic probability concepts, discrete and continuous random variables, probability distributions, joint probability distributions, point estimation, confidence intervals based on a single sample, confidence intervals based on multiple samples and hypothesis testing.¶ Due to the ongoing Covid-19 situation, there could be occasional online lectures through Zoom. If that happens, an announcement will be made prior to the lectures. There will be occasional homework assignments throughout the course. The assignments will NOT be graded. Instead, they will be used for exams. There will be one mid-term exam and a final. The date and time for the exams will be announced when available. There will be NO make-up exams in this class. If you miss the mid-term with some valid excuse, its weight will be shifted to the final exam. The relative weighting is: attendance 10%, mid-term 40% and final 50%.Item Restricted Introduction to Statistics: STAT 1021G(2021-01) Raimann, Jochen G.COURSE OVERVIEW Provides students with the fundamental principles of experimental design, statistical and exploratory data analysis and visualization, emphasizing research related to human health and clinical settings. Statistical topics include descriptive statistics, hypothesis testing, analysis of variance, correlation, regression, chi-square test, and non-parametric methods. COURSE LEARNING OUTCOMES By the end of this course, students will be able to: 1. Explain the role of regression models, conduct and interpret inferential statistics and descriptive statistics. 2. Plan and design analyses relevant for life sciences, formulate Null- and Alternative hypotheses and appropriately test these using statistical software. 3. Read, interpret and understand analyses based on texts or statistical outputs. 4. Interact and collaborate with epidemiologists, scientists and statisticians.Item Restricted Introduction to Statistics STAT 1021 K(2021-01) Kest, BenjaminCourse Description: A study of statistical methods most commonly used in psychology. Descriptive techniques including the measurement of central tendency, dispersion, and association as well as inferential techniques including the analysis of differences among groups will be considered, as will parametric and non-parametric techniques. Critical thinking will be emphasized throughout the course. Learning Objectives: After taking this class you should be able to 1. Use a basic vocabulary of terms and concepts relevant to statistics; 2. Perform statistical analysis on research data; 3. Understand and appreciate the relevance of statistics to every day events.Item Restricted Introduction to Statistics STAT 1021(2021-01) Malka, ArielCourse Description: This course introduces students to applied statistics for the social sciences Course content includes basic concepts and terminology of statistics, the display of data, research designs in social science central tendency and variability, the basic logic of inferential statistics, t-tests (one sample, independent means, and matched samples) correlation, regression, analysis of variance, interval estimation for means and other statistics, power and decision errors, and brief coverage of non parametric statisticsItem Restricted Introduction to Statistics: STAT 1021N(2021) Uy, NaomiProvides an overview of common statistical methods in psychology, experimental design, and data analysis. Topics covered in this course include descriptive techniques, hypothesis testing, analysis of variance, correlation, regression, chi-square test, and non-parametric analyses. Reading comprehension of scientific articles will also be discussed. STUDENT LEARNING OBJECTIVES: During this course of study, students will be able to: A. Explain the role of various statistical models as well as conduct and interpret inferential and descriptive statistics. B. Plan and design analyses, formulate Null- and Alternative hypotheses and appropriately test these using statistical software C. Read and interpret statistical analyses found in scientific articles D. Apply and communicate results of statistical analyses conducted during class.Item Restricted Introduction to Statistics (STAT 1021 K)Kest, BenjaminCourse Description: A study of statistical methods most commonly used in psychology. Descriptive techniques including the measurement of central tendency, dispersion, and association as well as inferential techniques including the analysis of differences among groups will be considered, as will parametric and nonparametric techniques. Critical thinking will be emphasized throughout the course. Learning Objectives: After taking this class you should be able to 1. Use a basic vocabulary of terms and concepts relevant to statistics; 2. Perform statistical analysis on research data; 3. Understand and appreciate the relevance of statistics to every day events.Item Restricted Intro to Statistics - 15539 - STAT 1021 - K(2021-09) Shao, Ran; 0000-0002-1736-9862Sources of data; descriptive statistics: data display, univariate measures of location and variability; basic probability, normal curve and its applications; correlation and regression. Sampling distributions. Inferential procedures in one- and two-sample problems: estimation, hypothesis testing. Chi-square. See MATH 1320 and 1460 for Mathematical Statistics and Probability Theory. 3.000 Credit hoursItem Restricted Introduction to Statistics: STAT 1021G(2021-09) Raimann, Jochen G.Sources of data; descriptive statistics: data display, univariate measures of location and variability; basic probability, normal curve and its applications; correlation and regression. Sampling distributions. Inferential procedures in one- and two-sample problems: estimation, hypothesis testing. Chi-square. See MATH 1320 and 1460 for Mathematical Statistics and Probability Theory. 3.000 Credit hours