10.2

7.

  1. classical apporaoch 2.31>z.05 = 1.645 –reject null hypothesis
  2. p value approach– .0104 < .05 –reject null hypothesis

9.

  1. classical approach: z0=-.74> -z.10 = -1.28 do not reject null
  2. p value =.2296 > .10 do not reject null

11.

  1. z0=-1.49 is between -z .025 =-1.96 and z.-25 =1.96 do not reject null
  2. .1362 do not reject null

13.

27 in 100 samples wil give a sample proportion as high than the one obatained if the population is .5. Bc probability is small, we dont reject null.

15.

  1. p=.472

Ho: .5

H1: .5

  1. 169.5>10

  2. Skip

  3. greater than .472

  4. if we obtained 100 samples of 678 from the population of Cramer predicitions and the true proportion of correct predictions was .5 we would expect about seven of the samples to result in same proportion of correct predictions of .472

  5. bc the p value is greater than the level of significance do not reject null

17.

  1. z= .65<z.01=2.33 do not reject null

  2. .2578–do not reject null

19.

  1. np0 (1-p0)=24.192 >10 and n <.05 so h0p=.36 h1=p>.36 =1.645 reject null

  2. p value= .0036 < .05 -reject null