Name: Ch 5 Organization of Data - 5.1 MDM 4U1 As you may have discovered, we can separate data into a few types: Data Numerical Data Categorical Data (a.k.a. quantitative) (a.k.a. qualitative) Data in the form of a number. E.g. Data that is not in the form of a number. heights, times, volumes, dice rolls but can be sorted into categories, E g opinions of TV shows, favourite colours, nationalities Continuous Discrete data Ordinal data Nominal data data Numbers that can Categories that Categories that Numbers that can have only specific can be ordered or cannot be ranked. have values in any values (and no in- ranked, such as E.g. favourite range (including between values). E.g "strongly colours or flavours # of children, dice of ice creams decimals). E.g. disagree, heights, times, rolls, disagree, agree", etc Use the classifications above to classify the four types of data from the first page. (Include the main category and subcategory, e.g. "categorical ordinal") a) Number of siblings b) Heights of students c) Country of birth d) Learning skills on your report card B. Practice. Classify each of the following 1. A survey asks people to rate their concerns about online privacy from 1 - 5. 2. A survey asks 1000 people how many hours of TV they watch. 3. The number of condo units in an apartment building. 4. The sorting of songs in your song collection by genre. 5. The number of chocolate chips found in cookies. 6. The brand of refrigerators that students have at home. 7. The volumes of carbon dioxide produced each day. 8. A survey asking people to rate their experience of the last superhero movie. Check with teacher, then 5.1 HW pg 203 # 1, 2