9.
mu and right tailed
10.
proportion and left tailed
11.
standard deviation and two tailed
12.
proportion and right tailed
13.
mu and left tailed
14.
standard deviation and two tailed
15.
Ho: p=.105
H1: p>.105 type one error would be beleiving H1, but the births had not increased type two would be beleiving the births had not changed, but they did
17.
Ho: mu=218600
H1: mu<218600 say that mu had gone down, falsely say that mu had stayed the same, falsely
19.
Ho: sandard deviation=.7
H1: standard deviation < .7 say H1, falsely say H0 falsely
21.
Ho: mu=47.47
H1: mu =/= 47.47 say H1, falsely say H0 falsely
7.
9.
11.
13.
it’s successful, but not by much.
15.
.7389<2.075
Type answer here.
17.
.05=.05
yes
19.
5.53 is too big
Type answer here.
1.
2.602
1.729
2.179
2.
1.321
2.426
2.738
3.
-1.38
1.645
Skip this problem.
no because 1.3 is not in the rejection region
4.
2.67
1.282
Skip this problem.
yes, in the rejection region
5.
2.5
2.326
Skip this problem.
yes, in rejection region
(99.39, 110.20)
11.
Ho: M=67
Ha: M>67
this value represents the probability of the test having a type 1 error
1.645 < 2.054
13.
Ho: M=22
Ha: M>22
population normal
.02<.05,
accept null
15.
-45.52 is too big to make sence
17.
1.685>.8133 accept
19.
(37.1, 40.69) accept
1.
28.869
14.041
16.047, 45.722
3.
20.49
35.173
Skip this problem
yes, in rejection region
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.
Type the value of your test statistic here.
Type your conclusion here.
15.
Type the value of your test statistic here.
Type your conclusion here.