Question

you could use the chi - squared test to determine if a quarter is heavier on the head side or the tail side of the coin.
(a) true
(b) false
clear selection
10 points
question 2
why would you run a chi - squared test?
(a) to test an experimental population to a control population.
(b) to test a hypothetical population to an actual population.
(c) to test the relationship between two variables.
(d) to test the beginning of an experimental data to the end experimental data.
12 points
question 3
determine the confidence interval (%) if there is probability value of 0.001.
(a) 0.009%
(b) 0.999%
(c) 90%
(d) 99%

Explanation:

• Question 1: The Chi - squared test is used for comparing observed and expected frequencies, not for determining if one side of a coin is heavier.
• Question 2: The Chi - squared test is used to test a hypothetical population (expected values) against an actual population (observed values).
• Question 3: If the probability value (p - value) is 0.001, we reject the null hypothesis at a very low significance level. The confidence interval is calculated as \(1 - \text{significance level}\). With a p - value of 0.001, the significance level is 0.001, so the confidence interval is \(1- 0.001=0.999\) or 99.9% which is closest to 99% among the given options.

Answer:

• Question 1: B. False
• Question 2: B. to test a hypothetical population to an actual population.
• Question 3: D. 99%