Teaching S1/S2 statistics using graphing technology

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Example List of data given – t test H0 μ = 35 H1 μ 35 5% level A random sample of 10 packets of crisps with nominal weight 35g is obtained. These weights can be modelled by a normal distribution The weights of each of the packets in the sample are : 34.6 35.9 37.4 36.2 34.9 35.8 38.2 37.8 35.1 35.9 F3 test F2 t F1 I sample
H 1 is ≠ 35 t = 3.0138 (test statistic) p = 0.014623 X 0.0146 < 0.05 sig level = 36.18 Sig evidence to reject Ho and conclude S x = 1.238 that the mean weight of crisps is not n = 10 35g ( appears to be higher ) .
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 12 and 13: It is advised that students should
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 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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