• Adam Kanigowski Awarded European Mathematical Society Prize

    He is the first member of UMD’s Department of Mathematics to receive this prestigious award for young mathematicians. The European Mathematical Society (EMS) awarded a 2024 EMS Prize to Adam Kanigowski, a Polish-born associate professor in the University of Maryland’s Department of Mathematics. Established in 1992, the prize is presented every four years to… Read More

  • Jonathan Poterjoy and Kayo Ide join new $6.6 million NOAA consortium

    Congratulations to AOSC's Jonathan Poterjoy and Kayo Ide (also of math and IPST) on joining a new NOAA consortium to improve the accuracy of weather forecasts.  Called CADRE, the $6.6 million initiative will focus on data assimilation, which uses observations to improve model predictions of natural systems, like Earth's atmosphere, over time.… Read More

  • Alfio Quarteroni receives the Blaise Pascal Medal in Mathematics

    Congratulations to Alfio Quarteroni for winning the 2024 Blaise Pascal Medal in Mathematics The message from the European Academy of Sciences reads: We are excited to announce that Professor Alfio Quarteroni has been awarded the esteemed 2024 Blaise Pascal Medal in Mathematics for his outstanding contributions to the field, particularly in… Read More

  • Archana Receives the Donna B. Hamilton Award

    Archana Khurana has been selected to receive the Donna B. Hamilton Award for Excellence in Undergraduate Teaching in a General Education Course.  Awards are based solely on student nominations and are solicited from across campus.  From the many nominations received, the selection committee was very impressed by the student experience… Read More

  • Yanir Receives a Do Good Campus Fund Grant

    Yanir’s proposal on “Incorporating outreach into the curriculum via experiential learning” is one of the only 27 projects out of 140 submissions that were funded by the UMD Do Good Campus Fund. Read More
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Description

STAT 100 introduces the basic concepts of statistical reasoning and modern computer based techniques for organizing and interpreting data. Students will learn how to summarize data, how to interpret variability in data in terms of probability, and how to apply statistical methods to examples. Real world applications from the social, behavioral and biological sciences are used to illustrate the usefulness of statistical techniques. The MINITAB software package is used throughout the course, providing powerful and easy to use tools for statistical analysis. Computer exercises involving data reduction, graphics, simulation and statistical analysis will be assigned throughout the semester.

Prerequisites

Permission of Mathematics Department based on satisfactory score in Math Placement Exam, or MATH 110 or higher. Not open to students who have completed MATH 111 or any who have completed MATH or STAT course with a prerequisite of MATH 141. 

Topics

Populations, samples and data description; MINITAB for data analysis.

Summarize the distribution of a variable and summarize the relationship between two variables.

Discrete probability, axioms.

Random variables, expected value, variance, standard deviation.

Binomial and normal probability laws.

Statistics and sampling distributions, behavior of averages, central limit theorem.

Estimating means, variances and proportions in large samples, hypothesis testing, confidence limits.

Inference in small samples, Student's t distribution.

Comparing means: paired comparisons, two independent samples, analyze bivariate data.

 

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