9.
Right tailed, population mean
10.
Left tailed, population proportion
11.
Two tailed, population standard deviation
12.
Right tailed, population proportion
13.
Left tailed, population mean
14.
Two tailed, population standard devation
15.
Ho: p=.105
H1: p>.105
Type I: When you reject the Ho when in fact the Ho is true
Type II: When you fail to reject the Ho when in fact the Ho is false
17.
Ho: m=218600
H1: m<218600
Type I: We find that m was not 218600 when in fact the m is 218600
Type II: We find that m is 218600 when in fact the m is less than 218600
19.
Ho: o=.7
H1: o<.7
Type I: We find that o is not .7 when in fact o is .7
Type II: We find that o is .7 when in fact o is less than .7
21.
Ho: m=47.47
H1: m≠47.7
Type I: We find that m is not 47.47 when in fact m is 47.47
Type II: We find that m is 47.7 when in fact m is not 47.7
7.
9.
11.
13.
We would fail to reject Ho because if the p value is .2743, then that means 27 out of 100 samples will have a proportion that is greater than or equal to .5.
15.
TS=.65 and CV=2.33
Fail to reject Ho.
17.
P=.1492
Fail to reject Ho.
19.
TS=2.59 and CV=1.645
Reject Ho.
1.
2.602
-1.729
+/- 2.179
2.
1.321
-2.426
+/-2.739
3.
-1.38
-1.714
Skip this problem.
Fail to reject Ho because the test statistic is less than the critical value.
4.
2.67
1.318
Skip this problem.
Reject Ho because the test statistic is greater than the critical value.
5.
2.5
+/-2.819
Skip this problem.
Fail to reject Ho because -2.8<2.5<2.8
99.39, 110.2
11.
Ho: m=67
Ha: m>67
There is a .02 probability that there is a sample mean greater than or equal to $73 from a population whose mean is $67.
Reject Ho
13.
Ho: m=22
Ha: m>22
Condition: n>30, 200>30
Reject Ho
Students who complete the core curriculum are scoring 22 or higher.
15.
Test statistic= -4.5
Reject Ho
17.
Test statistic= .813
Fail to reject Ho
19.
35.44, 42.36
Fail to reject Ho, 40.7 is included in the interval
1.
28.869
14.041
16.047 and 45.722
3.
20.496
13.091
Skip this problem
Fail to reject Ho because the test statistic is greater than the critical value
x <- sd(c(108.5,80.4,67.4,95.5,58.0,86.3,75.9,70.9,65.1,72.0))
x
## [1] 15.20504
13.
Note. The sample standard deviation of the data shown is.\(15.205043\). You will have to knit this to see the number though.
6.42
Fail to reject Ho
15.
15.639
Reject Ho