normal.The important result upon which the test procedure relies is that if X 1 , X 2 , p,Xnis a
random sample from a normal distribution with mean and variance 2 , the random variablehas a tdistribution with n 1 degrees of freedom. Recall that we used this result in Section
8-3 to devise the t-confidence interval for . Now consider testing the hypothesesWe will use the test statistic(9-23)If the null hypothesis is true, T 0 has a tdistribution with n 1 degrees of freedom. When we
know the distribution of the test statistic when H 0 is true (this is often called the reference
distributionor the null distribution), we can locate the critical region to control the type I
error probability at the desired level. In this case we would use the tpercentage points t 2,n
1
and as the boundaries of the critical region so that we would reject H 0 : 0 ifwhere t 0 is the observed value of the test statistic T 0. The test procedure is very similar to the
test on the mean with known variance described in Section 9-2, except that T 0 is used as the
test statistic instead of Z 0 and the tn
1 distribution is used to define the critical region instead
of the standard normal distribution. A summary of the test procedures for both two- and one-
sided alternative hypotheses follows:t 0 t 2,n
1 or if t 0
t 2,n
1
t 2,n
1T 0 X
0
S
1 nH 1 : 0H 0 : 0TX
S
1 n9-3 TESTS ON THE MEAN OF A NORMAL DISTRIBUTION, VARIANCE UNKNOWN 301Figure 9-8 The reference distribution for H 0 : 0 with critical region for (a) (b) and
(c) H 1 : 0.H 1 : Z 0 , H 1 : 0 ,(a)0tn – 1- t /α 2, n – 1 t /α 2, n – 1 tα , n – 1 – t α , n – 1 T 0
/2α /2α(c)0α(b)0αtn – 1 tn – 1Null hypothesis: H 0 : 0Test statistic:Alternative hypothesis Rejection criteriaH 1 : 0 t 0
t ,n
1H 1 : 0 t 0 t ,n
1H 1 : Z 0 t 0 t /2,n
1 or t 0
t /2,n
1
T 0 X
0
S
1 nThe One-
Sample t-TestFigure 9-8 shows the location of the critical region for these situations.c 09 .qxd 5/15/02 8:02 PM Page 301 RK UL 9 RK UL 9:Desktop Folder: