Scheme of Work SS2- Mathematics 3rd term

WEEK

TOPIC/CONTENT

1

Reviewing of last term work, resumption test and copying of scheme of work for the term/students

2.

TRIGONOMETRY:

(1) Derivation of sine rule

2.

 (2) Application of sine rule

DERIVATION AND APPLICATION OF CONSINE RULE

3.

BEARINGS:

1. Revision of trigonometric ratios, angles of elevation and depression.

2. Definition and drawing of:-

- 4 cardinal points

- 8 Cardinal points

- 16 Cardinal points

3. Notation for bearings

- Cardinal notations

N30^OE, S45^Ow……………

3 – digits notation e.g. 075^O, 350^O

4. Practical problems on bearing

4

STATISTICS:-

MEASURES OF CENTRAL TENDENCY:-

1. Meaning and computations of mean, median, mode of ungrouped data

5.

MEASURES OF DISPERSION

1. Definition of range, variance, standard deviation

2. Calculation of range, variance, standard deviation

3. Practical application in capital market reports; Home, Health studies; population studies

6    I

I

HISTOGRAMS OF GROUP DATA (REVISION)

1. Need for grouping

2. Calculation of class boundaries, class interval and class mark

3. Drawing of Histograms

4. Estimating model from the Histogram

CUMULATIVE FREQUENCY GRAPH

1. Calculation of cumulative frequency

2. Drawing of cumulative frequency curve graph (Ogive)

3. Using graph of cumulative frequencies to estimate, median, quartile, percentiles, other relevant estimates

4. Application of Ogive to everyday life

7

MID TERM TEST/BREAK

8

MEASURES OF CENTRAL TENDENCY FOR GROUP DATA:

1. Determination of the mean, median and the mode

of grouped frequency data.

9

PROBABILITY:

1. Definitions and examples of:-

Experimental outcomes, random experiment, sample space, sample points, event space, probability.

2. Practical example of each term

3. Chance instruments:- the dice, the coin, pack of playing cards

4. Theoretical probability

i. Limiting values of relative frequency

ii. Equi-probable sample space, definition biasedness, simple probable on equi-probable sample space

10

PROBABILITY:

1. Addition and multiplication rules of probability:- mutually exclusive event and addition (“or”) rule, complementary events and probability rule, independent event and multiplication (“and”) rules

2. Solve simple problems on probability

3. Practical application of probability in health, finance, population

11-13

Revision, examination marking and processing of results/issuance of results to students etc. closure