Summary: Statistics

Read the summary and the most important questions on Statistics

• Week 1: Course introduction

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• What is an ordinal variable?

  There is a difference between the categories of the variable, but there is also an order (eg. team 1 was 1st, team 2 was 4th). You don't know the differences between the categories (you don't know by how many points team 1 beat team 2)

• What is an interval variable?

  A variable in which there is a difference between categories and an order, but also similar intervals between the categories. (eg. Age: players 16-18 is the same interval as players 14-16)

• What is a ratio variable?

  The same as the interval level, but there is also a meaningful 0 point. (eg. length: when there is a length of 0 there is no length)

• In which category can interval and ratio be placed?

  Quantative measurements.

• In which 2 categories can quantitative measurements also be divided?

  - Discrete (set of seperate numbers. (eg. you can score 1 goal, not 1,234 goals))
  - Continuous (infinite region of values (eg. height can be 174,5432))

• What is a datamatrix?

  An overview of all your cases and variables, often in form of a table.

• What is a frequency table?

  A table that shows how the values are distributed over the cases (eg. Haircolour)

• What does it mean when you recode a variable?

  If you turn a quantitative variable in a categorical variable for example. (eg.: from the quantitative variable "weight" to the ordinal category "weight intervals") The other way around is impossible.

• What is the best way to summarize nominal and ordinal variables?

  With a pie chart or bar graph

• What is the best way to summarize interval and ratio variables?

  Make a histogram.