| Problem | Part | Solution |
|---|---|---|
| 1 | - | - Symmetrical - Mean of 0 - Exact shape depends on the degrees of freedom - Bell Shaped - More area in the tails than the standard normal distribution |
| 2 | - | \(df = n-1 \text{(that is sample size} - 1\)) |
| 3 | - | \[\bar{x}-t^* \times \frac{s}{\sqrt{n}}, \bar{x} + t^* \times \frac{s}{\sqrt{n}}\] |
| 4 | - | - Sigma is not known - We compute a t-score from the Student t-distribution rather than a z-score from the normal distribution. (We cannot use the Normal Applet to compute t-scores.) - We must now consider degrees of freedom for the t-distribution where the normal distribution did not have degrees of freedom. |
| 5 | - | \[t=\frac{\bar{x}-\mu}{s/\sqrt{n}}\] |
| 6 | - | - A simple random sample was drawn from a population. - \(\bar{x}\) is normally distributed. |
| 7 | - | The mean is 46.733. The standard devation is 8.827 |
| 8 | - | It is a random sample from a population. The \(\bar{x}\)’s are normally distributed |
| 9 | - | (41.845 , 51.622) |
| 10 | - | (39.948 , 53.518) |
| 11 | A | (41.845 , 51.622) |
| 11 | B | (39.948 , 53.518) |
| 12 | - | The margin of error for the confidence interval is smaller for a 95% confidence level than a 99% confidence level. |
| 13 | A | \(H_o: \mu = 47\) \(H_a: \mu \neq 47\) |
| 13 | B | t = -0.117 |
| 13 | C | df = 14 |
| 13 | D | |
| 13 | E | P-value = 0.909 |
| 13 | F | fail to reject the null hypothesis |
| 13 | G | We have insufficient evidence to conclude that the mean age of this realtor’s customers who are buying second homes, is different than the national average. |