Teaching S1/S2 statistics using graphing technology

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It is advised that students should be aware of the method involved as questions may involve being asked to show a result. Discrete Probability Distributions: Expectation and variance List 1: input x 0 1 2 3 List 2: input probabilities 0.1 0.3 0.4 0.2 CALC SET EXIT 1 VAR X x 2 = E(X) = E(X) =E(X²) σ given Check n = 1 x 12
Example For the following probability distribution, x 0 1 2 3 4 5 P (X = x) 0.08 0.30 0.34 0.15 0.10 0.03 calculate (a) E(X) ; (b) E( X²) ; (c) the variance of X; (d) the standard deviation of X. 13
Page 2 and 3: Teaching S1/S2 statistics using gra
Page 4 and 5: F6 SET 1 Var X List: List 1 F1 1 Va
Page 6 and 7: 1. Find the mode. 2. Find the mean.
Page 8 and 9: (b) Probabilities of type P(X ≤ x
Page 14 and 15: (a) E(X) =1.98 (b) E(X²) = 5.36 (c
Page 16 and 17: eg X~ Normal mean 135 st deviation
Page 18 and 19: eg X~ Normal mean 135 st deviation
Page 20 and 21: (iii) 0 (i) (ii)
Page 22 and 23: This can also be done from the GRAP
Page 24 and 25: (a) Calculate the regression line o
Page 26 and 27: (b) Probabilities of type P(X ≤ x
Page 28 and 29: eg A random sample of 112 rods, tha
Page 30 and 31: F2 t F1 1 sample Data in List 1 90%
Page 32 and 33: . It is advised that the method use
Page 34 and 35: Example List of data given - t test
Page 36 and 37: It is advised that the method for o
Page 38 and 39: F6 Go to Mat B Mat B gives the expe

Teaching S1/S2 statistics using graphing technology

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