1.2: Variable Types & Summary Statistics ✅

Question 1

UK categorizing

Answer 1

Numeric:
->continuous
->discrete

Categorical
->normal categorical
->ordered categorical
->binary (yes or no etc)

Question 2

US categorizing

Answer 2

Numeric
->interval scale (values graded in equal increments)
->ratio scale (same as interval, but true 0 exists)

Categorical
->nominal scale
->ordinal scale

Question 3

How can categorical data be shown?

Answer 3

Frequency tables: show numbers and proportion for each category

Bar chart: distribution and easy comparison

Pie charts: total population shown

Question 4

Measures of central tendency

Answer 4

Mean

Median

Mode

Question 5

Mean importance in normal distributions

Answer 5

As most values cluster around it

Question 6

Range characteristics

Answer 6

Not very useful

Extremely affected by outliers

Question 7

IQR

Answer 7

Width of the range that has 50% of the central data

Question 8

Quartiles or

Answer 8

Textiles

Quartiles

Quintiles

Question 9

SD

Answer 9

Standard deviation

Quantifies the typical spread/variation around the mean

Question 10

SD in relation to variance

Answer 10

SD is the square root of the variance

Question 11

How can numeric data be shown?

Answer 11

Box plot

Histogram

Question 12

Histogram use

Answer 12

To understand variability in the data

-the range of values that a variable can take is divided into interval (of equal size)