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Diploma in AP Statistics
This course covers anticipating patterns involving the exploration of random phenomena using probability and simulation. It also describes data exploration as a statistical concept in data analysis where analysts use visualization and statistical techniques to describe dataset characterizations. By the end of this course, you should be ready to apply statistical reasoning in various fields of learning.
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Diploma in AP Statistics
An introductory college-level course that looks at probability in data exploration and dataset characterization.
This course covers anticipating patterns involving the exploration of random phenomena using probability and simulation. It also describes data exploration as a statistical concept in data analysis where analysts use visualization and statistical techniques to describe dataset characterizations. By the end of this course, you should be ready to apply statistical reasoning in various fields of learning.
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7 Lessons
Exploring Data
To start, this module will introduce you to data exploration. You will learn about the important metrics used in measuring the centre of a data set. You will also be introduced to how transformations are used as a technique for linear and non-linear models.
1.Learning Outcomes
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2.Introduction to Datasets
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3.Measuring Centre of a Dataset
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4.Comparing Univariate Data in a Dataset
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5.Introduction to Multivariate Data
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6.Transformations to Achieve Linearity
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7.Lesson Summary
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5 Lessons
Sampling and Experimentation
1 Lessons
Diploma in AP Statistics - First Assessment
7 Lessons
Anticipating Patterns
6 Lessons
Statistical Inferences
1 Lessons
Diploma in AP Statistics - Second Assessment
1 Lessons
Course assessment
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