9
Right tailed, mu.
10
Left-tailed, p.
11
Two-tailed, sigma.
12
Right-tailed, mu.
13
Left-tailed, mu.
14
Two-tailed, sigma.
15
Ho: p = .105
H1: p > .105
Type 1 error: Determining the true proportion p is greater then .105 when it is not.
Type 1 error: Determining the true proportion p is not greater then .105 when it is.
17
Ho mu= 218,600 H1 mu< 218,600
Type 1 error: Determining the true mean mu is not less than 218,600 when it is.
Type 2 error: Determing the true mean mu is less than 218,600 when it is not.
19
Ho sigma=.7 H1 sigma<.7
Type 1 error would be to say that the true standard deviation sigma is not less than .7 when it is.
Type 2 error would be to say that the true standard deviation is less than .7 when in fact it is not.
21
Ho mu=47.47 H1 mu not equal to 47.47
A type 1 error would be to say that the true mean mu is not equal to 47.47 when in fact it is.
A type 2 error would be to say that the true mean mu is equal to 47.47 when in fact it is not.
7
np(1-9) is greater then or equal to 10.
The Pvalue = .0104
Reject the Null Hypothesis.
9
Ho p=.55 H1 p<.55
Pvalue=.52
Approve Null hypothesis.
11
Ho p=.0 H1 p not equal to .9
P value=.1362
Approve null hypothesis.
13
About 16 in 100 samples will give sample proportion as high or higher than the one obtained if the population proportion is in fact greater than .5.
15
The Pvalue = .2578
Do not reject null hypothesis.
17
The Pvalue = .1379
Do not reject null hypothesis.
19
The Pvalue = .0047
Reject null hypothesis.