Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
CURRICULUM SUMMARY – January to April 2017 SUBJECT: Mathematical Studies SL Week Dates YEAR GROUP: IB1 Learning objectives 1 2 2-5 Jan 9 -13 Jan 3 16-20 Jan 4 23-27 Jan 5 30 Jan-3 Feb 6 6 – 10 Feb BIVARIATE STATISTICS Scatter plot. Correlation. Pearson’s correlation coefficient. Line of best fit. The least square regression line. Interpolation and extrapolation. THE 2 TEST FOR INDEPENDENCE Independent variables. The null hypothesis. Degrees of freedom, critical value. The formal test for independence. 7 13 - 17 Feb HALF – YEAR REVISION 8 20 – 24 Feb 27 Feb -3 Mar 9 6 – 10 Mar CORDINATE GEOMETRY - revision SEQUENCES, DESCRIPTIVE STATISTIC, COORDINATE GEOMETRY - revision CORDINATE GEOMETRY - revision TEACHER: Agata Piskorz Activities (in brief) Solving past paper problems. Solving past paper problems. Solving past paper problems. Solving revision sets from the student textbooks (Review set 13A-13D) Writing a test. Feedback of the test. Describing correlation. Using the equation for prediction purposes. Mathematical and contextual interpretation of the regression line. Analysing and interpreting data. Analysing contingency tables. Finding the expected contingency table. Finding number of degrees of freedom. Calculating 2 . Reading the critical value. Performing the formal test for independence. Revision – solving problems at class and at home. Writing a test. Feedback of the test. Solving past paper problems. Writing a half-year assessment test. Mid-Term Break SETS Basic concepts of set theory - members (elements) of a set; the empty set; equal sets; subsets; appropriate notation. Venn diagrams - union; intersection. The universal set. Complement of a set. The relationship between sets of natural Introducing new symbols; definitions and algorithms. Solving problems – individual or group work. Shading regions in Venn diagrams – Interactive White Board numbers, integers, rational numbers and real numbers. Set of prime numbers; multiples and factors. Venn diagrams to illustrate set operations. Venn diagram regions. Set operations with three sets. Numerical problems with three sets. 10 13 – 17 Mar 11 20 – 24 Mar PROBABILITY Basic concepts of probability: outcome, event, sample space. Theoretical probability of an event Compound events. Independent events. Probabilities from Venn diagrams. Conditional probability 12 27 – 31 Mar 13 3 – 7 Apr Complementary events and their probabilities. Probability from tree diagrams. activity. Solving practical problems – numbers in regions of Venn diagrams. Using the set builder notation. Shading regions in Venn diagrams – three sets. Problem solving with Venn diagrams. Revision – solving past paper problems. Writing a test. Feedback of the test. Chance investigation. Estimating probability from data. Using tables of outcomes; grids and tree diagrams to represent the sample space and calculate probability. Solving problems at class– individual or group work. Using Venn diagrams to calculate probability of events. Calculating conditional probability with Venn diagrams. Solving problems at class– individual or group work. Using tree diagrams to calculate probability of events. Revision – solving past paper problems. Writing a test. Feedback of the test.