Sebastian Tello
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Quiz 1

  1. The 2026 Olympics are on the horizon, and you want to code a dataset of all competitors and their results. Olympic medal type is an example of which of the following types of measures/variables?
    1. Nominal
    2. Ordinal
    3. Abstract
    4. Ratio
  2. Which of the following characteristics apply to interval measurements?
    1. They have a natural order
    2. They have a meaningful zero
    3. You can calculate meaningful differences between values (i.e. add or subtract)
    4. They cannot be numbers
  3. You hear an statistic on a newscast showing that unemployment in Virginia rose by 1 percentage points between 2024 and 2025, and the t-statistic associated with this change is 0.04. Is this:
    1. Economically significant, but not statistically significant
    2. Statistically significant, but not economically significant
    3. Not statistically significant, and with the information from the prompt we cannot conclude economic significance.
    4. Statistically significant, and with the information from the prompt we cannot conclude economic significance.
    5. Economically significant, but with the information from the prompt we cannot conclude statistical significance.
    6. Statistically and economically significant
  4. Now let’s say that Virginia’s unemployment rate was 3% in 2021, 3.25% in 2022, 3.5% in 2023, and 3.51% in 2024. Is the change from 2024-2025 (from question 3) economically significant?
    1. Yes
    2. No
  5. In the context of police accountability a proposal that was touted as a solution is Body worn cameras. Let’s imagine we do a RCT in which a set of police-people in many departments had to use BWCs and other departments did not. Let’s say that one of the metrics they used to measure the effects of the policy is number of arrest per capita in a given year. The main outcome in the RCT is the per-capita arrest rate, and then have the mean for the control group to express the effect size in percentage terms. Given this information select the most appropriate statement
    1. Higher arrest rate could imply that police are arresting more people even though the crime didn’t change.
    2. Higher arrest rate could imply more crime, hence higher arrest.
    3. Lower arrest rate could imply less crime, hence less arrest.
    4. Lower arrest rate could imply, same level of crime, but police are arresting fewer people.
    5. All could apply