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Math and Statistics (MATH2123) (W1: Intro and basic calculations…
Math and Statistics (MATH2123)
W1: Intro and basic calculations
statistics
Science of data
collect
classify
summarize
analyze
interpret
2 types
Descriptive Statistics
= Utilizes
numerical and graphical
methods to look for
patterns
in a data set, to
summarize
the information revealed in a data set and to
present that information
in a convenient form
Average, spread, range, frequency
histogram, median, scatter plot
mode, interquartile range
Inferential Statistics
= utilizes
sample data
to
make estimates,
decisions, predictions or other generalizations
about a larger set of data
Sampling
estimation
hypothesis testing.
definitions
Population
= is the complete collection of items to be studied.
If we can examine every single unit, we conduct a
census
.
Variable
a characteristic or property of an individual unit.
Sample
is a subset of the population.
Different methods of sampling
Simple random sampling
Stratified sampling
Classify into groups by criteria and then randomly sample in each group
Cluster sampling
Use a heterogeneous subgrouping (eg postcode) and sample within this subgroup
Convenience sampling
Only ask people that are easy to get to, or come to you
Reliability
A good representation of the population
No selection bias
No response bias
Measurement error
Measure of reliability
= is a statement about the degree of uncertainty associated with a statistical inference
Data
Collecting Data
Published Source
Designed Experiment
Survey
Observational Study
types of sample
representative sample
exhibits characteristics typical of those possessed by the target population.
random sample
A random sample of n units is selected in such a way that every different sample of size n has the same chance of being selected
Types of Data
Quantitative Data
Ex: Age / Salary / GPA...
types
Discreet
Continuous
Qualitative Data
Year in school
Live on/off campus
major; gender
W2: Descriptive Statistics