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This syllabus outlines the course content, objectives, instructional methods, grading policies, and essential information for students enrolled in the Statistical Methods course at Miami-Dade College,
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How to fill out STA2023_Syllabus
01
Obtain the STA2023_Syllabus template from your course website or instructor.
02
Fill in your name and contact information at the top of the syllabus.
03
Include the course title, code, and semester dates in the designated sections.
04
Outline the course objectives and learning outcomes as specified in the guidelines.
05
Provide a week-by-week schedule of topics, readings, and assignments.
06
Detail the grading criteria and policies, including weight distribution for assignments and exams.
07
Write down the attendance policy as per the instructor's rules.
08
Include any required textbooks or resources needed for the course.
09
Review the syllabus for accuracy and completeness before submission.
10
Submit the completed syllabus by the specified deadline to your instructor.
Who needs STA2023_Syllabus?
01
Students enrolled in the STA2023 course need the syllabus to understand course expectations.
02
Instructors use the syllabus to provide a structured guide for teaching the course.
03
Academic advisors might refer to the syllabus for advising students on course selection.
04
Department heads may need the syllabus for curriculum planning and compliance.
05
Accreditation bodies may review the syllabus for quality assurance purposes.
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If you're not a fan of traditional mathematics classes, you might actually find Statistics more engaging and manageable due to its practical and applicable nature. However, if you struggle with understanding and interpreting data, you might find it a bit challenging.
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Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In other words, it is a mathematical discipline to collect, summarize data. Also, we can say that statistics is a branch of applied mathematics.
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STA 2023 is an introductory course that assumes no prior knowledge of statistics but does assume some knowledge of high school algebra. Basic statistical concepts and methods are presented in a manner that emphasizes understanding the principles of data collection and analysis rather than theory.
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Descriptive Statistics and Probability: Measure of Central tendency, Measure of dispersion, skewness and Kurtosis, Elementary analysis of data. Axiomatic definition of probability and properties, conditional probability, multiplication rule. Theorem of total probability.
What is the statistics class about?
Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.
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Statistics represent a common method of presenting information helping us to understand what the data are telling us. Descriptive (or summary) statistics summarise the raw data and allow data users to interpret a dataset more easily. Descriptive statistics can describe the shape, centre and spread of a dataset.
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What is STA2023_Syllabus?
STA2023_Syllabus is a formal outline or framework that details the content and structure of a specific course or academic program offered in the year 2023.
Who is required to file STA2023_Syllabus?
Instructors or educational institutions that are offering courses as part of their curriculum in 2023 are required to file the STA2023_Syllabus.
How to fill out STA2023_Syllabus?
To fill out the STA2023_Syllabus, one must provide detailed information regarding the course objectives, topics covered, assessment methods, and any required materials, adhering to guidelines set by the educational authority.
What is the purpose of STA2023_Syllabus?
The purpose of STA2023_Syllabus is to provide a clear and structured plan for the course, ensuring that both instructors and students understand the expectations, content, and evaluation methods.
What information must be reported on STA2023_Syllabus?
The STA2023_Syllabus must report information such as course title, description, learning objectives, course schedule, assessment methods, required texts and materials, and instructor contact information.
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