Stats

Question 1

Qualitative vs quantitative data

Answer 1

quantitative = numerical data
qualitative = descrittive and conceptual e.g. interviews

Question 2

Interval vs categorical

Answer 2

interval = continuous and qualitative e.g. height, blood pressure
categorical = discrete and qualitative
- ordinal - categories have rank order e.g. pain scale
- nominal - categories have no direct relation e.g. blood group

Question 3

Parametric vs non-parametric

Answer 3

parametric = normal (bell shaped) distribution
non-parametric = all others

Question 4

averages

Answer 4

central tendency of data
mode = most common value (useful for nominal)
median = numbers in ascending order, middle one (e.g. ordinal categorical - pain scale)
mean = sum of all data divided by number of values

normal distrubution - all the same
non-parametric may be skewed - positive mode, then median then mean
negative skew - mean then median then mode

Question 5

Measurement of data spread

Answer 5

parametric - standard deviation. square root of sum of x-mean2/x-1
1 SD = 68% of values 2 SD = 96% of values 3 SD = 99.7%

non-parametric
- range / IQ range