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Grade 12 Mathematics (MATH) September Paper 2 and Memo - 2024 R50,00   Add to cart

Exam (elaborations)

Grade 12 Mathematics (MATH) September Paper 2 and Memo - 2024

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Grade 12 Math September Paper 2 and Memo: Total:  150 Marks. Contents of the exam paper contains the following details: Data Handling Regression and Correlation Analytical Geometry Geometry in the Cartesian Plane Circle Geometry Trigonometry Functions and Graphs Trigonometric Identit...

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  • August 20, 2024
  • 26
  • 2024/2025
  • Exam (elaborations)
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Datum / Date: SEPTEMBER 2024
Tyd / Time: 3 hours
Punte / Marks: 150
Graad / 12
Grade:
Vak / Subject: Mathematics
Vraestel 1
/Paper:

Naam en Van / Name and
Surname:

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Topics covered in this paper:

 Data Handling
 Regression and Correlation
 Analytical Geometry
 Geometry in the Cartesian Plane
 Circle Geometry
 Trigonometry
 Functions and Graphs
 Trigonometric Identities and Solutions

Bl / Pg www.summariessa.co.za Opsteller / CHR SMI
Author:
Graad / Vak / Datum / Date:
12 MATHEMATICS SEPT 2024
Grade: Subject:

, QUESTION 1
1.1 In a professional development workshop, each participant
was given a similar task to complete. The time taken (in
minutes) by each participant to finish the task is shown in
the table below:


TIME TAKEN (t) NUMBER OF
(IN MINUTES) PARTICIPANTS

2<t ≤6 2

6 < t ≤ 10 10

10 < t ≤ 14 9

14 < t ≤ 18 7

18 < t ≤ 22 8

22 < t ≤ 26 7

26 < t ≤ 30 2



1.1.1 How many children completed the puzzle? (1)
1.1.2 Calculate the estimated mean time taken to complete the (2)
puzzle
1.1.3 Complete the cumulative frequency column in the table (2)
1.1.4 Draw a cumulative frequency graph (ogive) to represent (3)
the data
1.1.5 Use the graph to determine the median time taken to (2)
complete the task
[10
]




Bl / Pg www.summariessa.co.za Opsteller / CHR SMI
Author:
Graad / Vak / Datum / Date:
12 MATHEMATICS SEPT 2024
Grade: Subject:

, QUESTION 2
2.1 The following table shows a comparison of athletes'
performance scores in their final competition of 2019 and
their average weekly training scores for the year


ATHELETE 1 2 3 4 5 6 7 8 9 10
TRAINING
99 93 77 74 63 62 63 63 47 37
SCORE
COMPETITIO
94 81 73 65 59 58 55 49 43 31
N SCORE




2.1.1 Determine the equation of the least squares regression line (3)
for the data. (Round off your answer correct to 4 decimal
places.)
2.1.2 Determine the correlation coefficient between the training (1)
score and the competition score.
2.1.3 Comment on the correlation between the training score (1)
and the competition score.
2.1.4 Athlete 11 scored 51% for her training score. Predict the (2)
competition score she should get.
2.1.5 Given that the mean for the competition score is 60,8, (3)
calculate how many athletes were within one deviation of
the mean
[10
]




Bl / Pg www.summariessa.co.za Opsteller / CHR SMI
Author:
Graad / Vak / Datum / Date:
12 MATHEMATICS SEPT 2024
Grade: Subject:

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