COLUMN X COLUMN Y Q.1.2.1 The analyst manipulates certain variables under controlled conditions. A. Statistics Q.1.2.2 Generalises sample findings to the broader population. B. Ordinal-scaled data Q.1.2.3 Describes a characteristic of a sample. C. Statistical modelling Q.1.2.4 Categorical data, where the categories have an implied ranking. D. Inferential statistics Q.1.2.5 Any attribute of interest on which data are collected and analysed. E. Data Q.1.2.6 A set of mathematically based tools & techniques that transform raw data into information to support effective decisionmaking. F. Descriptive statistics Q.1.2.7 The actual values or outcomes recorded on a random variable. G. Parameter Q.1.2.8 Condenses sample data into a few summary measures H. Random variable Q.1.2.9 The collection of all possible observations that exist for the random variable under study. I. Experimentation Q.1.2.10 Describes a characteristic of a population. J. Statistic K. Continuous data L. Population
COLUMN X COLUMN Y
Q.1.2.1 The analyst manipulates certain variables under
controlled conditions.
A. Statistics
Q.1.2.2 Generalises sample findings to the broader
population.
B. Ordinal-scaled data
Q.1.2.3 Describes a characteristic of a sample. C. Statistical modelling
Q.1.2.4 Categorical data, where the categories have an
implied ranking.
D. Inferential statistics
Q.1.2.5 Any attribute of interest on which data are
collected and analysed.
E. Data
Q.1.2.6 A set of mathematically based tools &
techniques that transform raw data into
information to support effective decision
making.
F. Descriptive statistics
Q.1.2.7 The actual values or outcomes recorded on a
random variable.
G. Parameter
Q.1.2.8 Condenses sample data into a few summary
measures
H. Random variable
Q.1.2.9 The collection of all possible observations that
exist for the random variable under study.
I. Experimentation
Q.1.2.10 Describes a characteristic of a population. J. Statistic
K. Continuous data
L. Population
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