SECTION A: PLANTS/FLORA QUESTION 1 
Any five of the following
1.2 - They both possess eukaryotic cells. - They both carry out photosynthesis. - Cell wall made of cellulose. - Chloroplasts with chlorophylls
NB: If the student has written the following credit him/her a full mark.
1) Rings of cellulose-synthesis; 2) Peroxisome enzymes; 3) Structure of flagellated sperm; 4) Formation of a phragmoplast.
(5) QUESTION 2 
2.1 Parenchyma cells Collenchyma cells Structure and composition of the cell wall
Thin and flexible primary walls.
Most lack secondary walls.
Thicker primary walls.
Walls are unevenly thickened. Functions
Perform most of the metabolic functions.
Provide flexible support without restraining growth.
Help support young parts of the plant shoot.
Eukaryotic cell Prokaryotic cell
Nucleus Present Absent Number of chromosomes More than one One, but not true chromosome Cell type Usually multicellular Usually unicellular Mitochondria Present Absent Chloroplasts Present (in plants) Absent Cell size Large (10- 100 um) Small (1- 10 um) Structural complexity complex Much simpler DNA found in the region Nucleus Nucleoid Membrane-enclosed organelles Present Absent Lysosomes and peroxisomes Present Absent Endoplasmic reticulum Present Absent Golgi apparatus Present Absent Permeability of nuclear membrane Selective Not present Plasma membrane Present Present Cytosol Present Present Cell division Mitosis Binary fission Ribosomes Present (larger) Present (smaller)
2 7 SAMPLING DISTRIBUTION STUDY UNIT 7 Key questions for this unit What is the sampling distribution of the sample mean? What is the sampling distribution of the sample proportion? What is the standard error of the sample mean? What is the standard error of the sample proportion? In many real life applications, you make inferences that are based on statistics calculated from a sample to estimate values of population parameters. In this study unit, we learn about how the sample mean (a statistic) is used to estimate the population mean (a parameter), and how the sample proportion (a statistic) is used to estimate the population proportion (a parameter). Our main focus when making statistical inference is drawing conclusion about a population and not about a sample, hence sampling distribution. A sampling distribution is the distribution of the results if you actually selected all possible samples. The following is the mind map of this study unit. 7.1 Sampling distribution of the sample mean The sampling distribution of the sample mean is the distribution of all possible sample means if you selected all possible samples of a given size. This distribution follows a normal distribution with mean µ = ) ( x E and the standard deviation of the sample mean (the standard error) is n x σ = where is the population standard deviation and n is the