T/F?
1. For a continuous distribution, the probability of an exact value is always zero.
2. When constructing a confidence interval for a sample proportion, the t distribution is appropriate whenever the sample size is small
3. The larger the p-value, the greater the chance of rejecting the null hypothesis
4. The error term is the difference between the observed value of the dependent variable and the Mean value of the dependent variable
5. The least squares simple linear regression line minimizes the sum of squares of the vertical deviations between the estimated line and the observed data points
6. The sample mean, the sample proportion and the sample variance are all unbiased estimators of the corresponding population parameters