Data Handling Flashcards

1
Q

Data

A

Information

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2
Q

Comparing

A

finding a relationship between two items based on a specific attribute

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3
Q

Data collection

A

recording information collected during observations

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4
Q

Elements

A

the parts of a set

(not necessarily concrete objects e.g. days of the week)

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5
Q

Classifying

A

grouping or sorting according to properties such as size, shape, colour etc

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6
Q

Attribute

A

property of an object/item which can be used to sort it

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7
Q

Categories

A

groups formed according to shared attributes

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8
Q

statistics

A

the collection, analysis, interpretation and presentation of information in a numerical format

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9
Q

Name the stages of the data cycle

A
  1. Problem and question
  2. Collect and organise data
  3. Represent data
  4. Analyse and interpret data
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10
Q

What occurs during the first stage of the data cycle?

A

A problem is described and a question is asked

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11
Q

What questions can be asked to help you determine a plan for the problem and question?

A
  • What do I want to find out?
  • How will I get the information I need?
  • What will I do with the information I collect?
  • Who would the information be useful to?
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12
Q

What occurs in the second stage of the data cycle?

A

Information is collected and organised (Recording data)

Examples:
- tables
- lists
- sorting objects (cluster graph)

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13
Q

What occurs in the third stage of the data cycle?

A

The collected data is organised into a format that best showcases your information.

Examples:
- pictographs
- dot plots
- bar graphs

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14
Q

What occurs in the final stage of the data cycle?

A

The data is read and used for exploration and reasoning.

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15
Q

What are the ways in which data can be read?

A
  • reading the data (finding information explicitly in the representation)
  • reading between the data (interpreting mathematical relationships– comparing)
  • reading beyond the data (extending, predicting)
  • reading behind the data (connecting the data to the context)
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16
Q

Example of a question reading between the data

A
  • How many more..?
17
Q

What is the purpose of including data handling in the mathematics syllabus for the foundation phase?

A
  • to develop citizens who can read and appreciate the value of statistics
  • provide learners with the opportunity to use data to make decisions
  • provide learners with the opportunity to answer questions and understand situations
18
Q

What is involved in reading the data?

A

finding information explicitly in the representation

19
Q

What does reading between the data involve?

A

-interpreting mathematical relationships
- comparing

20
Q

What is involved in reading beyond the data?

A

extending and predicting

21
Q

What is involved in reading behind the data?

A

connecting the data to the context

22
Q

What two skills do learners need to develop to be able to interpret data?

A
  • read information directly from representations
  • compare information in representations
23
Q

What is a list?

A

A list is a series of related words, numbers or other items…. A list may or may not be numbered, or organised in some logical way

24
Q

What is a tally chart?

A

Tally marks/ lines grouped by five

25
What is a table?
A table has rows and columns for the information. Arepresentation which organises information using rows and columns.
26
What is a bar graph?
A bar graph involves categories and counts of the number of people or things in a category (frequency).
27
Sorting
the process of separating a larger group into two or more smaller groups
28
Grouping
the process of placing two or more smaller groups into larger groups
29
Handling objects, describing them and sorting them is...
The beginning of collecting data (part of physical knowledge)
30
What forms part of social knowledge in data handling?
- sorting data into categories and explaining the reasoning behind the chosen categories - displaying data in a way that makes sense to others
31
Collecting, sorting and representing objects is included in the FP to develop...
logical thinking skills
32
Classification
the ability to group similar objects in sets according to an attribute/attributes
33
set
a group of similar things/elements
34
Objects suitable for sorting
- recyclable materials - cardboard shapes - greeting cards - emotion cards of different sizes and colours - buttons - plastic animal toys - natural items such as pinecones/sticks/flowers/leaves
35
The higher levels of classification:
- multiple classification - class inclusion - hierarchical classification
36
Multiple classification
Classifying things in more than one way, for example sorting shapes first by shape and then by size.
37
Class inclusion
One class may be included within another (e.g. trees can be deciduous or evergreen)
38
Hierarchical classification
Classes within classes (subgroups within other subgroups of a larger group) E.g. puppies c dogs c mammals
39
Name some examples of representations
- cluster graph - dot plot - pictograph - bar graph - list - tally chart - table