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Statistics I
OVERVIEW
CEA CAPA Partner Institution: University of New York in Prague
Location: Prague, CZECH REPUBLIC
Primary Subject Area: Mathematics
Instruction in: English
Course Code: MTH201
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 45
Prerequisites: College Algebra (MTH101)
DESCRIPTION
This course focuses at first on graphical and numerical tools used in descriptive statistics. It introduces methods for detection possible relationship between variables, correlation and regression analysis. Later it introduces basic concepts of probability and continuous probability distributions, including normal distribution and its applications. Finally basic inference methods are introduced, namely theory of estimate and hypothesis testing. The purpose of the course is to provide students with the knowledge and skills in order to assess statistical evidence reported in scientific and non-scientific papers. The course aims to teach the steps of the computation of basic descriptive and inferential statistical procedures needed to answer research questions. Generally, the course aims to motivate in students an intrinsic interest in statistical thinking, to instill the belief that statistics is important for scientific research, and provide a foundation and motivation for exposure to statistical ideas subsequent to the course.
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