Good Graph Description.
1. Evidence in numbers Features of Good Graph Descriptions
Semester 2, Block 2, Week 6
Doc 6.2E
Example: Script 1 Lines 10-12 Original: • In the second chart, most of the people thought any mention of fine was the best penalty. Nearly 69% of all adults, 59% of drivers and 51% of male drivers under 35 thought so.
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1. Evidence in numbers
Example: Script 1 Lines 10-12 Improved: • In the second chart, most of the people interviewed thought a fine was the penalty. Nearly 69% of all adults, 59% of drivers and 51% of male drivers under 35 thought so.
1. Evidence in numbers
Example: Script 1 Lines 10-12 Extended: • In the second chart, most of the people interviewed thought a fine was the penalty. Nearly 69% of all adults reported this, while the number for drivers and male drivers was slightly lower: 59% and 51% respectively.
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2. Main Trends
Example: Script 3 Lines 13-15 Original: • From the graph, we can clearly see that all the three group of people… have the highest percentage of people in the choice “any mention of fine”.
2. Main Trends
Example: Script 3 Lines 13-15 Improved: • From the graph, we can clearly see that for all three groups of people… the choice “any mention of fine” had the highest percentage.
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2. Main Trends
Example: Script 3 Lines 13-15 Extended: • From the graph, we can clearly see that for all three groups of people… the penalty of having to pay a fine was the most common belief.
3. Comparisons and Differences
Example: Script 4 Lines 6-8 Original: At the other end of the scale, male drivers under 35 seemed to have more proportions of using mobile phones while driving. which is in stark contrast with all drivers.
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3. Comparisons and Differences
Example: Script 4 Lines 6-8 Improved: At the other end of the scale, a higher proportion of male drivers under 35 seem to use mobile phones while driving, which is in stark contrast to all drivers.
3. Comparisons and Differences
Example:
Semester 2, Block 2, Week 6
Doc 6.2E
Example: Script 1 Lines 10-12 Original: • In the second chart, most of the people thought any mention of fine was the best penalty. Nearly 69% of all adults, 59% of drivers and 51% of male drivers under 35 thought so.
1
2
1. Evidence in numbers
Example: Script 1 Lines 10-12 Improved: • In the second chart, most of the people interviewed thought a fine was the penalty. Nearly 69% of all adults, 59% of drivers and 51% of male drivers under 35 thought so.
1. Evidence in numbers
Example: Script 1 Lines 10-12 Extended: • In the second chart, most of the people interviewed thought a fine was the penalty. Nearly 69% of all adults reported this, while the number for drivers and male drivers was slightly lower: 59% and 51% respectively.
3 4
2. Main Trends
Example: Script 3 Lines 13-15 Original: • From the graph, we can clearly see that all the three group of people… have the highest percentage of people in the choice “any mention of fine”.
2. Main Trends
Example: Script 3 Lines 13-15 Improved: • From the graph, we can clearly see that for all three groups of people… the choice “any mention of fine” had the highest percentage.
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1
2. Main Trends
Example: Script 3 Lines 13-15 Extended: • From the graph, we can clearly see that for all three groups of people… the penalty of having to pay a fine was the most common belief.
3. Comparisons and Differences
Example: Script 4 Lines 6-8 Original: At the other end of the scale, male drivers under 35 seemed to have more proportions of using mobile phones while driving. which is in stark contrast with all drivers.
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3. Comparisons and Differences
Example: Script 4 Lines 6-8 Improved: At the other end of the scale, a higher proportion of male drivers under 35 seem to use mobile phones while driving, which is in stark contrast to all drivers.
3. Comparisons and Differences
Example: