Data handling: (i) What is data - choosing data to examine a hypothesis? (ii) Collection and organisation of data - examplesof organizing it in tally bars and a table. (iii) Pictograph- Need for scaling in pictographs interpretation & construction. (iv) Making bar graphs for given data interpreting bar graphs+.
