1. What are "sampling distributions"? When and why are they used? What variable is used to represent a sample? Give an example. [Chapter 9, Section 1-3] (5 pts) 2. Identify each statement as True or False. If true, explain why. If false, give the correct answer. [Chapter 9, Section 3, 4, 6, 8, 9] (8 pts) The standard error of the mean is smaller when N = 20 than when N = 10. The sampling distribution of r = .8 becomes normal as N increases. You choose 20 students from the population and calculate the mean of their test scores. You repeat this process 100 times and plot the distribution of the means. In this case, the sample size is 100. In your school, 40% of students watch TV at night. You randomly ask 5 students every day if they watch TV at night. Every day, you would find that 2 of the 5 do watch TV at night. 3. What does it mean for something to be considered "statistically significant"? Explain the process involved to proving statistical significance, then give an example. [Chapter 11, Sections 2-4, 6, 8] (5 pts) 4. State in a complete sentence the null hypotheses for each of the following: [Chapter 11, Section 2-5] (4 pts) An experiment testing whether Robitussin CF decreases the length of colds. A correlational study on the relationship between brain size and intelligence. An investigation of whether a self-proclaimed psychic can predict the outcome of a coin flip. A study comparing a drug with a placebo on the amount of pain relief using a one-tailed test