L2 · Independent Events: Modelling the Sample Space
“I can find the probability of two or more independent events by MODELLING the sample space - with a table, a tree, or a list - and counting: probability = favourable outcomes in the model / total outcomes in the model.”
A coin is flipped and a die is rolled. Find P(heads and an even number). Step 1: Model: the 2 x 6 table from L1 - 12 cells, one per ordered pair, all equally likely. Step 2: Mark the favourable cells: the event needs H in the coin AND even in the die: (H,2), (H,4), (H,6) - 3 favourable cells. Step 3: Count, don't guess: P = favourable / total = 3/12 = 1/4. Say it plainly: in this unit a probability is ALWAYS a count from a model. If you cannot point at the favourable outcomes inside a model, you do not have the probability yet.
Why is the denominator 12 and not 6?
Two dice are rolled. Find P(the dice add to 7). -> Build the 6 x 6 table (36 pairs). Pairs summing to 7: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1) - 6 favourable. P = 6/36 = 1/6.
"A spinner with 4 equal sections (A, B, C, D) is spun twice. The table has 16 cells. The favourable cells for 'A on both spins' are: only (A,A), so P = 1/___." -> 16
10 scored questions with a 3-rung hint ladder. Mastery needs 8/10 plus both gate questions.