Statement of Inquiry
Statistics is concerned with the collection, analysis, and interpretation of quantitative data and uses the theory of probability to estimate parameters, discover empirical laws, test hypotheses, and predict the occurrence of events. Statistical representations and measures allow us to represent data in many different forms to aid interpretation.
Concepts
Representation
Representation:
The manner in which something is presented.
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Learning Topics
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Population
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Bias
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Samples, random samples, and
sampling methods -
Outliers
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Discrete and continuous data
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Histograms
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Box and whisker plots
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Cumulative frequency curves
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Measures of central tendency and dispersion
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Skewness
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Scatter graphs
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Correlation
Prior Learning Support
Prior Learning Topic 1 - Statistical Graphs
Prior Learning Topic 2 - Measures of Central Tendency
Prior Learning Topic 3 - Measures of Dispersion
Prior Learning Topic 4 - Coordinates
Course Syllabus Topics
Conceptual Understandings
Further Conceptual Understandings
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Organizing, representing, analyzing, and interpreting data, and utilizing different statistical tools facilitates prediction and drawing of conclusions
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Different statistical techniques require justification and the identification of their limitations and validity
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Approximation in data can approach the truth but may not always achieve it
Unit Discussion
Questions & Suggestions
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Begin a discussion thread by adding a specific question under a Lesson heading.
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Suggest links to videos and websites that have helped you in your learning.
Lesson 1:
Univariate Data
and Centrality
Link to the Course Calendar
In SeeSaw, respond to one. Then, comment to someone else with agreements/disagreements.
TOK Reflections:
Why have mathematics and statistics sometimes
been treated as separate subjects?
Reflect
Lesson 2:
Measures of
Dispersion and Sampling
In SeeSaw, respond to one. Then, comment to someone else with agreements/disagreements.
TOK Reflections:
Is standard deviation a mathematical
discovery or a creation of the human mind?
Reflect
Lesson 3:
Histograms
and Box Plots
In SeeSaw, respond to one. Then, comment to someone else with agreements/disagreements.
TOK Reflections:
Can you justify using statistics to mislead
others? How easy is it to be misled?
Reflect
Lesson 4:
Cumulative
Frequency +
Bivariate Data
Learn
In SeeSaw, respond to one. Then, comment to someone else with agreements/disagreements.
TOK Reflections:
...
Reflect
Lesson 5:
Unit Review
None today.
Ask your questions
in our Unit Discussion.
​
Learn
In SeeSaw, respond to one. Then, comment to someone else with agreements/disagreements.
TOK Reflections:
...