9
Right tailed, mu.
10
Left tailed, probability.
11
Two-tailed, sigma.
12
Right-tailed, probability.
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: u = $218,600 and H1: u < $218,600
The sample evidence led the broker to conclude that the mean price of an existing single-family home has decreased, when in fact the mean price had not decrease.
The sample evidence did not lead the broker to conclude that the mean price of an existing single-family home decreased, when in fact the mean price did decrease.
19
Ho: o = .7 psi and H1: o < .7 psi
The quality control manager rejects the hypothesis that the variability in the pressure required is .7 psi, when the true variability is .7 psi.
The quality control manager fails to reject that the variability in the pressure required is .7 psi, when the variability is less than .7 psi.
21
Ho: u = $47.47 and H1: u ≠ $47.47
The same evidence led the researcher to believe the mean monthly cell phone bill is different from $47.47, when in fact the mean bill is $47.47.
The sample evidence did not lead the researcher to believe the mean monthly cell phone bill is different from $47.47, when in fact the mean bill is different from $47.47.
7
np(1-9) is greater then or equal to 10.
The Pvalue = .0104
Reject the Null Hypothesis.
9
np(1-p) = 37.1 > 10
The Pvalue = .2296
Do not reject the null hypothesis 11
np(1-p) = 45 > 10
The Pvalue = .1362
Do not reject the null hypothesis. 13
27 out of 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is .5. Therefore, reject the null hypothesis since the probability is so small.
15
The Pvalue = .2578
Do no reject the null hypothesis.
17
The Pvalue = .1379
Do not reject the null hypothesis.
19
The Pvalue = .0047
Reject the null hypothesis.