FOR ALL QUESTIONS PLEASE USE THE SCENARIO BELOW:

In order to compete in the saturated energy drink market, the company Boost developed an energy drink recipe called Over 9000, claiming that a smaller proportion of people who consume it experience crashes (sudden decreases in energy levels) than other energy drinks. It's generally accepted that energy drink consumption, generally speaking, is associated with crashes in 33% of people, and new energy drinks are assumed to have this property as well. Boost's totally honest research team conducted an experiment and concluded that 31 out of 100 participants who drank Over 9000 experienced a crash. Of course 31% is less than 33%, but is Boost's claim statistically justified? Let's find out by conducting a hypothesis test.

13. State their statistical conclusion in the context of the problem in a practical way with more normal words.

15. Suppose that in this larger study, they found a confidence interval for the proportion of people who crash from using Over 9000 to be 32.04%

16. Match the following 6 scenarios/research questions with the appropriate type of hypothesis test/confidence interval procedure to implement:

1. A young biologist is curious if honey badgers and wolverines have different average weights.

a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)

2. How effective is the Thin Mint Cookies diet? Forty people weigh themselves before and after using the diet for 6 weeks and the mean (difference in) weights are analyzed. a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)

3. A kid noticed that a carnival worker flipped a coin and got heads 8 times out of 10. Is the coin fair (50% heads and 50% tails)? a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)

4. Is there a link between someone's IQ score and their strength? One-hundred people had each variable measured and a scatter plot was made.

a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)

5. Does a greater percentage of men approve of divorce than women?

a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)

6. The common belief that humans have an average temperature of 98.6 degrees Fahrenheit and the temperatures of 1000s of people are measured to evaluate this.

a. two sample independent means

b. Two sample dependent/ paired means

c. One proportion

d. One Mean

e. Two proportions

f. We don't have a test for this (yet)