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1
Introduction
2
The Teaching Statistics Trust
3
Teaching Statistics
4
Statistics
5
Data science and statistics
6
Understanding the real world
7
Statistical understanding
8
The hold of the story
9
The average
10
The distribution
11
Why does this matter
12
The spurious precision
13
The skewed distribution
14
Healthy weight
15
Quantity variation
16
Another warning
17
Typical result
18
Average Australian woman
19
People are confused
20
Why we get the jobs
21
Helen MacGillivray
22
Language of significance
23
Statistics of grading
24
A true story
25
Language significance
26
Outlier
27
Outliers
28
Significant results
29
Conditional probability
30
Matching DNA
31
Sally Clark
32
Why do we do this
33
Different forms of inference
34
Argument from effect
Description:
Explore the importance of language in statistical understanding and teaching in this Teaching Statistics Trust Lecture. Delve into the shift from formulaic calculations to interpretation in statistics education, emphasizing the need for clear communication. Examine how everyday language overlaps with statistical terminology, potentially hindering student comprehension, and discover how a richer vocabulary can enhance understanding. Investigate the role of statistics in citizenship and media interpretation, highlighting common misunderstandings stemming from imprecise language. Through practical examples, learn how careful language use can improve statistical comprehension for teachers, students, and citizens alike, covering topics such as formulating inquiries, interpreting data, and effectively communicating conclusions.

We Need to Talk About Statistics - Neil Sheldon, Teaching Statistics Trust

Alan Turing Institute
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