Stat 200
Solutions to Inference Examples
These correspond to Examples 1 through 12, covered in Lecture 23
- Can't be solved, because the sample is not random.
- Can't be solved; this is a cluster sample, not an SRS.
- Can't be solved; the distribution is skewed, not normal.
-
- (32.8, 35.6)
- z = 5.87, so P-value is approximately 0; reject the null hypothesis
-
- (9.05, 9.55)
- z = -4.59, so P-value is approximately 0; reject the null hypothesis
- z = 3.8, P-value = 0; reject null
- z = -.59, P-value = .5552; can't reject null
- z = 4.81, P-value = 0; reject null
- z=-2.95, P-value = .0016; reject null
- z = 1.5, P-value = .0668, can't reject
- z = -3, P-value = .0013; reject null
- Given s, not sigma, so we can't solve this by the methods of Chapter 6;
we'll learn to solve such problems in Chapter 7.
[ Home
| Calendar
| Assignments
| Handouts
]
|