Week 5-7 Flashcards
Give an example: Nominal level of measurement
Ethnic group- Chinese
Gender- male, female
Give an example: Ordinal level of measurement
University grades- pass, credit, D, HD
T-shirts- S, M, L, XL
Give an example: Interval/Discrete level of measurement
IQ scores
Temperature
Give an example: Ratio/Continuous level of measurement
Height
Give an example: Categorical Data
Nominal and Ordinal
Give an example: Continuous data
Interval and Ratio
Explain: Nominal level of measurement
classifies objects or events into discrete categories not measured or ordered
Explain: Ordinal level of measurement
shows relative ranking of objects or events in hierarchical order
Explain: Interval/ Discrete level of measurement
differences between scores or measures treated as equal—zero is arbitrary
Explain: Ratio/Continuous level of measurement
shows ranking of events or objects on scales with equal intervals and absolute zero; the zero point makes the ratio of scale values meaningful
Descriptive Results/Statistics
Name the 3 ways data is described?
1) By measures of central tendency (mean, mode, median)
2) By measures of dispersion (variabiltiy)
3) By measures of association (frequency)
What are the 3 measures of Central Tendency?
Mean- average
Median- middle score (divided scores are equal halves)
Mode- score that occurs the most
Define: Statistics
are a way of organising and making sense of data obtained by measurement
Explain: Descriptive Statistics
allow us to describe our sample in a comprehensive way without drawing any statistical inferences from the data
Explain: Inferential Statistics
Provides procedures to draw inferences about a population from a sample
e.g. deciding whether the data collected shows differences and patterns (parametric and non parametric)
Define: Measures of Central Tendency
A single central score that can be used to describe the centre of a distribution of scores