9-1 HYPOTHESIS TESTING 28148.5 50 51.5Reject H 0
μ ≠ 50 cm/sFail to Reject H 0
μ = 50 cm/sReject H 0
μ ≠ 50 cm/s
xTable 9-1 Decisions in Hypothesis TestingDecision H 0 Is True H 0 Is False
Fail to reject H 0 no error type II error
Figure 9-1 Decision criteria for testing H 0 : Reject H 0 type I error no error
50 centimeters per second versus H 1 : 50 centime-
ters per second.α/2 = 0.0287 α/2 = 0.028748.5 μ= 50 51.5 X
Figure 9-2 The critical region for H 0 : 50
versus H 1 : 50 and n10.Because our decision is based on random variables, probabilities can be associated with
the type I and type II errors in Table 9-1. The probability of making a type I error is denoted
by the Greek letter. That is, P(type I error)P(reject H 0 when H 0 is true) (9-3)Sometimes the type I error probability is called the significance level,or the-error,or the
size of the test. In the propellant burning rate example, a type I error will occur when either
or when the true mean burning rate is centimeters per second.
Suppose that the standard deviation of burning rate is centimeters per second and that
the burning rate has a distribution for which the conditions of the central limit theorem apply,
so the distribution of the sample mean is approximately normal with mean and stan-
dard deviation. The probability of making a type I error (or the
significance level of our test) is equal to the sum of the areas that have been shaded in the tails
of the normal distribution in Fig. 9-2. We may find this probability asThe z-values that correspond to the critical values 48.5 and 51.5 areThereforeThis implies that 5.76% of all random samples would lead to rejection of the hypothesis
when the true mean burning rate is really 50 centimeters
per second.H 0 : 50 centimeters per second P 1 Z
1.90 2 P 1 Z1.90 2 0.028717 0.0287170.057434z 1 48.5
50
0.791.90 and z 2
51.5
50
0.791.90 P 1 X48.5 when 502 P 1 X51.5 when 502
1 n2.5
110 0.79
502.5x51.5 x48.5 50c 09 .qxd 5/15/02 8:02 PM Page 281 RK UL 9 RK UL 9:Desktop Folder: