9.
right tailed - the parameter being tested is μ.
10.
left tailed - the parameter being tested in p.
11.
Two tailed- the parameter being tested is σ.
12. Two tailed - the parameter being tested is p.
13.
Left tailed- the parameter being tested is μ
14.
Two tailed- the parameter being tested is σ.
15.
Ho: p = 0.399 H1: p > 0.399
A type I error means that it is believed that the proportion of students who earned a bachelors degree within six years was greater than .399 but it is truly .399 A type II error means that it is believed that the proportion of students who earned a bachelors degree within six years not greater than .399 when it actually is
17. Ho: μ = 245,700 H1: μ < 245,700
A type I error means believing that existing home prices are lower than $245,700 when in reality they are not A type II error means believing that existing home prices are not lower than $245,700 when in reality they are
19.
Ho: σ = 0.7 H1: σ < 0.7
A type I error means believing that the pressure has been reduced less than 0.7 in the manufacturing process when in reality it hasn’t. A type II error would mean believing that the pressure has stayed at .7 when in reality it is actually lower than 0.7
21.
Ho: μ = 48.79 H1: μ ≠ 48.79
A type I error means believing that the mean monthly revenue per cell phone was not equal to $48.79 when it actually is A type II error wmeans believing that the mean monthly revenue per cell phone is $48.79 when it’s actually is not