1. In hypothesis testing, the value against which a test statistic is compared to determine whether or not the null hypothesis is rejected. 2. Calculate the general t statistic if estimate is equal to 3, hypothesized value is equal to 2.5 and the standard error is equal to 0.4. 3. Calculate the general t statistic if estimate is equal to 2.3, hypothesized value is equal to 2 and the standard error is equal to 0.2.
1. In hypothesis testing, the value against which a test statistic is compared to determine whether or not the null hypothesis is rejected.
2. Calculate the general t statistic if estimate is equal to 3, hypothesized value is equal to 2.5 and the standard error is equal to 0.4.
3. Calculate the general t statistic if estimate is equal to 2.3, hypothesized value is equal to 2 and the standard error is equal to 0.2.
4. Calculate the general t statistic if estimate is equal to 2.1, hypothesized value is equal to 0.75 and the standard error is equal to 0.5.
5. Calculate the general t statistic if estimate is equal to 1.6, hypothesized value is equal to 0.35 and the standard error is equal to 0.8.
6. Calculate the general t statistic if estimate is equal to 1.75, hypothesized value is equal to 1 and the standard error is equal to 0.6.
7. Calculate the general t statistic if estimate is equal to 2.5, hypothesized value is equal to 2.1 and the standard error is equal to 0.2.
8. Calculate the general t statistic if estimate is equal to 3.7, hypothesized value is equal to 3.5 and the standard error is equal to 0.2.
9. Calculate the general t statistic if estimate is equal to 3.5, hypothesized value is equal to 3.1 and the standard error is equal to 0.8.
10.Practical Significance, which is defined as the practical importance of an estimate and is measured by its sign and magnitude, as opposed to its statistical significance, is also called _______.
11. One of the following assumptions is not required for unbiasedness of regression parameters?
12. Suppose that, the R2 is higher for model 2 but the adjusted R2 is lower for model 2. Which one of the following is the most plausible explanation?
Step by step
Solved in 2 steps
