Ut Homework System

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*Note - This is an Archived course* In a world that’s full of data, we have many questions: How long do animals in a shelter have to wait until they are adopted?

Luckily, the world is also full of data to help us answer those questions.

This course will walk through the basics of statistical thinking – starting with an interesting question.

If, on the other hand, the point system were used, and a change to the course assignments is needed, the total points for the class would change and the syllabus would need to be updated. Mutliply each score over the total points possible by the weight. If you earned 90/100 the calculation would be .25(90/100)=.225. Proportionally is a setting when you weight by category.

Expressed as a percent, you earned 22.5% Blackboard calculates weighted grades both proportionally and equally. It only makes a difference if you have columns with different points possible in the same category (e.g.Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs.Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion. Why not just assign more points to the things that are harder? However, there is far more flexibility in weighting grades.In a scenario where grades are weighted by category and the number of assignments in a category changes, no changes to the course points or syllabus would be necessary. The total points earned for the quizzes still makes up 25% of the the final grade. If a professor decides that quizzes should make up 25% of the total points in a course, it doesn't matter whether there is 1 quiz, 5 quizzes or, heaven forbid, 50 quizzes.This course is intended to have the same “punch” as a typical introductory undergraduate statistics course, with an added twist of modeling.This course is also intentionally devised to be sequential, with each new piece building on the previous topics. The text that we will be using is a custom created open source text that will be embedded into the ed X course as PDF readings. At this time, you can only explore this course in a self-paced fashion.This course will consist of instructional videos for statistical concepts broken down into manageable chunks – each followed by some guided questions to help your understanding of the topic.Most weeks, the instructional section will be followed by tutorial videos for using R, which we’ll then apply to a hands-on Lab where we will answer a specific question using real-world datasets.


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