9.
It is a right-tailed test and the parameter is the population mean.
10.
It is a left-tailed test and the parameter is p which is population proportion.
11.
It is a two-tailed test and the parameter is sigma which is the population standard deviation.
12.
It is a right-tailed test and the parameter is population proportion.
13.
It is a left-tail test and the parameter is a population mean.
14.
This is a two-tail test and the parameter is sigma, which is the population standard deviation.
15.
Ho: p= 0.399
H1: p > 0.399
Making a type one error would mean that the proportion is greater than 0.399, but in fact it is not.
Making a type two error would mean the opposite- the proportion is not greater than 0.399 when in fact it is.
17.
Ho: pop. mean = $245,700
H1: pop. mean < $245,700
Making a type 1 error would mean that current prices are lower than $245,700 when they are not actually lower at the moment.
Making a type 2 error would mean the opposite-that the current prices are not lower than this pop. mean when in reality they are.
19.
Ho: pop. standard deviation = 0.7
H1: pop. standard deviation < 0.7
Making a type 1 error would mean that the psi is lower than 0.7 but really the psi is not below 0.7
Making a type 2 error would mean the opposite- the psi is not below 0.7 but actually it is.
21.
Ho: pop. mean = $48.79
H1: pop. mean ≠ $48.79
Making a type 1 error would mean that the monthly revenue is not $48.79 when it really is.
Making a type 2 error is the opposite- the monthly revenue is $48.79 when it really isn’t.
7.
9.
11.
13.
15. Note this is slightly modified version of the book problem Just answer a) b) and c) fromt the skeleton.
320/678= 0.472
Ho: p= 0.5
H1: p < 0.5
17.
p-value= 0.258
We don’t reject the null hypothesis.
19.
p-value= 0.0036
In this case we reject the null hypothesis.