AType 2 error occurs when H_0 is indeed false but it is not rejected. The normal

Question

AType 2 error occurs when H_0 is indeed false but it is not rejected. The normal and t can be used to check for difference between (two) population measure. To check for difference, among three on more population means, one could use the F distribution. Each of two coins is flipped 200 times. One can shows heads 80 times while the 2 other shows heads 110 times at alpha = 0.05 chi^2 will show a significant difference between the time proportions of heads. The standard normal has third quartile given by z = 0.9 The regression lines y on x and x on y must show the point (x, y). Grading "on the curve" into using the normal density and SD's to determine cutoff's among the grade letters. The t distribution has more are a in the "tails" then does the normal. Then #59 is false./Then #47 is true.

Explanation / Answer

61. TRUE, by definition of type I error.

62. TRUE. We use z test and t test for comparing 2 means.

63. TRUE, using ANOVA testing.

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