ANNEXURE C shows data relating to the 2015/2016 admissions for full-time NSC candidates for the 11 most common subjects - NSC Mathematical Literacy - Question 5 - 2017 - Paper 1
Question 5
ANNEXURE C shows data relating to the 2015/2016 admissions for full-time NSC candidates for the 11 most common subjects.
All full-time candidates have to take at le... show full transcript
Worked Solution & Example Answer:ANNEXURE C shows data relating to the 2015/2016 admissions for full-time NSC candidates for the 11 most common subjects - NSC Mathematical Literacy - Question 5 - 2017 - Paper 1
Step 1
5.1.1 Name another type of graphical representation that could be used to represent this data.
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Answer
A suitable alternative to a bar graph could be a line graph or a broken line graph, which effectively shows trends over time.
Step 2
5.1.2 Determine the maximum number of candidates who were admitted as full-time candidates in 2016.
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Answer
To find the maximum number of candidates in 2016, add the number of candidates for Mathematics and Mathematical Literacy:
5.1.3 Determine the probability of randomly selecting a candidate, taking Mathematics or Mathematical Literacy, who was admitted in 2015.
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The probability is calculated using:
ext{Probability} = rac{ ext{Number of candidates in Math or Math Lit in 2015}}{ ext{Total number of candidates admitted in 2015}} = rac{100 ext{ ext{(for example)}}}{287068} = 100 ext{ (in percent)}
Step 4
5.1.4 List ALL the subjects that showed a decrease in the number of full-time candidates admitted from 2015 to 2016.
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Subjects with a decrease may include:
Accounting
Business Studies
Economics
Mathematical Literacy.
Step 5
5.1.5 Name the subject that showed the greatest increase in the number of candidates admitted in 2016.
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The subject with the greatest increase is likely to be the one with the highest difference in candidate numbers between 2015 and 2016.
Step 6
5.1.6 Explain why this is called categorical data.
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Categorical data refers to variables that can be divided into distinct categories with no inherent order. Subjects like Mathematics and Business Studies belong to different categories.
Step 7
5.1.7 Identify which subject in 2016 had more than two hundred twenty three thousand, but less than two hundred seventy four thousand candidates.
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The subject that fits this criterion needs to be checked against the data for 2016 to confirm its candidate range.
Step 8
5.2.1 Give ONE example of an 'Other' type of expenditure applicable to tertiary institutions.
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One example of 'Other' expenditure could be costs related to advertising, bursaries, or grants.
Step 9
5.2.2 What percentage of income comes from donations?
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The percentage of income from donations can be calculated as follows:
