Week 1 Coursera

Question 1

Variables are characteristics like…?

Answer 1

Age, height, # of goals

Question 2

Cases are like…?

Answer 2

Something or someone, like player 1, or team 1

Question 3

Categorical variables?

Answer 3

Nominal, Ordinal variables

Question 4

Quantitative variables?

Answer 4

Intervals, ratio. It can be discrete meaning a set of separate numbers like # of goals. Or it can be continuous like height over infinite regions of values.

Question 5

Data Matrix is a source but it can be huge so how do we summarize the data?

Answer 5

By using the frequency table. It shows how the values are distributed over the cases. For example, the data of players’ weight is huge. This quantitative data can be “RECODED” into ordinal data. ex) under 60 kgs, betweem 60-69kg…