A resistor is made out of a long wire having a length L. Each end of the wire is attached to a terminal of a battery providing a constant voltage V0. A current I flows through the wire. If the wire were cut in half, making two wires of length L/2, and both wires were attached to the battery (the end of both wires attached to one terminal, and the other ends attached to the other terminal), what would be the total current flowing through the two wires?

What does standard error measure? Would you rather have a high or low standard error? Explain why. 

If the significance level is increased (e.g., from 0.01 to 0.05), does it become easier or more difficult to reject the null hypothesis, and why?

When might the Welch’s t-test have more power than the Classic?

How is power related to a Type 2 error?

In statistical analysis, both the normal distribution and the t-distribution can model continuous data. Which statement highlights an important difference between them?

The probability that the data looks the way it does, given that the null hypothesis is true, is the:

The average viral replication rate in a zooplankton population is estimated from a sample of 50 specimens, producing a 95% confidence interval of (0.05, 0.15).  If the sample size is increased to 200 specimens, what will happen to the width of the confidence interval?

For a binary (0/1) indicator predictor in logistic regression,

For Poisson/Negative Binomial models, which statements are correct?