SS2 Mathematics Lesson Note (Third Term) 2022

The lesson note for SS2 Mathematics third term is now available for Tutors, parents, guardians and students who have been searching for an accurate and updated 2022 note.

Please note that the third term lesson note is curled out from the approved scheme of work for Senior Secondary school. So you can do your verification as well and compare the third term lesson note for SS2 Mathematics as seen on the free PDF file made available towards the end of this post.

SS2 Mathematics Lesson Note (Third Term) [year] 1

The SS2 Mathematics lesson note for third term is in line with the 2022 SS2 Mathematics scheme of work for the term. This means the SS2 Mathematics lesson note is tailored towards achieving the aim and objective for the subject as mandated by the ministry of education.

Below is The Mathematics Scheme of work from which the Mathematics SS2 third term lesson note was drafted from:

SCHEME THIRD TERM

SS2 MATHEMATICS

WEEKTOPICCONTENT
 

 

1

 

 

STATISTICS 1

(a) Meaning and computations of mean, median, mode or ungrouped data.

(b) Determination of the mean, median and the mode of grouped frequency data.

(c) Comparison of mean, mode and median.

(d) Rate and mixtures.

 

 

2

 

 

STATISTICS 2

(a) Definitions of: (i) Range, (ii) Variance, (iii) Standard deviation.

(b) Calculation of range, variance and standard deviation.

(c) Practical application in capital market reports; (i) Home (ii) Health studies (iii) Population studies.

 

 

 

 

3

 

 

 

 

 

STATISTICS 3

(a) Histograms of grouped data (Revision).

(b) Need for grouping.

(c) Calculation of; (i) class boundaries (ii) class interval (iii) class mark. 

(d) Frequency polygon.

(e) Cumulative Frequency graph: (i) Calculation of cumulative frequencies. (ii) Drawing of cumulative frequency curve graph (Ogive).

(f) Using graph of cumulative frequencies to estimate; (i) Median (ii) Quartiles (iii) Percentiles. (iv) Other relevant estimates.

(g) Application of ogive to everyday life.

 

 

 

 

4

 

 

 

 

PROBABILITY 1

(a) Definitions and examples of: (i) Experimental outcomes, (ii) Random experiment. (iii) Sample space. (iv) Sample points. (v) Event space. (vi) Probability.

(b) Practical example of each term.

(c) Theoretical Probability.

(d) Equiprobable sample space; Definition, Unbiasedness.

(e) Simple probable on equiprobable sample space.

 

 

 

5

 

 

 

PROBABILITY 2

(a) Addition and multiplication rules of probability: (i) Mutually exclusive events and addition (“or”) rule. (ii) Complimentary events and probability rule. (iii) Independent events and multiplication (“and”) rules.

(b) Solving simple problems on mutually exclusive, Independent and complimentary events.

(c) Experiment with or without replacement.

(d) Practical application of probability in; health, finance, population, etc.

 

6

 

FUNCTIONS AND RELATIONS

(a) Types of function (one-to-one, one-to-many, many-to-one, many-to-many).

(b) Function as a mapping.

(c) Determination of the rule of a given mapping/function.

7MID TERM BREAK 
 

 

8

 

 

VECTORS

(a) Vectors as directed line segment.

(b) Cartesian components of a vector.

(c) Magnitude of a vector, Equal vectors, Addition and subtraction of vectors, zero vectors, parallel vectors, multiplication of a vector by a scalar.

 

9

 

TRANSFORMATION GEOMETRY

(a) Rotation of points and shapes on the Cartesian plane.

(b) Translation of points and shapes on the Cartesian plane.

(c) Reflection of points and shapes on the Cartesian plane.

(d) Enlargement of points and shapes on the Cartesian plane.

10REVISION 
11EXAMINATION 

 

BEHAVIORAL OBJECTIVES:

At the end of the lesson, the students should be able to understand the following concepts:

  • Determination of the mean, median and the mode of grouped frequency data.
  • Comparison of mean, mode and median.
  • Rate and mixtures.
  • Calculation of range, variance and standard deviation.
  • Practical application in capital market reports
  • Definitions and examples of: (i) Experimental outcomes, (ii) Random experiment. (iii) Sample space. (iv) Sample points. (v) Event space. (vi) Probability.
  • Addition and multiplication rules of probability: (i) Mutually exclusive events and addition (“or”) rule. (ii) Complimentary events and probability rule. (iii) Independent events and multiplication (“and”) rules.

(b) Solving simple problems on mutually exclusive, Independent and complimentary events.

  • Types of function (one-to-one, one-to-many, many-to-one, many-to-many).

(b) Function as a mapping.

(c) Determination of the rule of a given mapping/function.

  • Vectors as directed line segment.

(b) Cartesian components of a vector.

(c) Magnitude of a vector, Equal vectors, Addition and subtraction of vectors, zero vectors, parallel vectors, multiplication of a vector by a scalar

 

The above are what is expected of a SS2 student to know and be able to understand with ease. The SS2 Mathematics third term lesson note here is aided with graphics so it makes it easier not just for the students but for the teachers too.

I have made the SS2 Mathematics third term lesson note available in a PDF format for free download without any extra cost as this would ease the passage of knowledge from teachers to students without hinderances. It is a my little way of giving back to the educational sector where I belong.

All you need do is click the download button below to get the PDF file of the Mathematics third term lesson note for third term.

SS2 Mathematics Third Term Lesson Note 2022

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DOWNLOAD SS 2 GEN MATHS 3RD TERM E-NOTES DOC File

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