STA2023 #1
Discrete
Finite and countable
Continous
Infinite
How do parameter and statistic differ?
Parameter is numerical measurement of a population characteristic and statistic is a numerical measurement of a sample.
Stastic
a # that describes a sample (Sample stastic)
Cencus
collection of data from EVERY member of the population
Population
complete collection of all measurements or data that are being considered
qualitative data
consists of attributes, labels, or non numerical entries.
Nominal Level of Measurement
data that consist of names, labels, or categories ONLY
Quantitative data can be broken into
discrete and continuous
Interval level of Measurement
if they can be arranged in order and differences between data values can be found
quantitative data
measurement or counts (age, temperature, weight,dollars,hours,feet;ETC)
Parameter
number that describes a population characteristic (Population parameter)
Stratified Sampling
population is divided into subgroups then randomly selected
Voluntary response sample
respondents decide whether themselves to respond (EX. internet surveys)
Statistical Significance
result that is very unlikely to occur by chance
What is stats?
science of collecting, organizing, analyzing, and interpreting data in order to make decisions
Systematic sampling
selection of elements from an ordered sampling frame
Sample
sub-collection of members collected from a sample
Convenience Sampling
subjects are selected because of their convenient accessibility and proximity to the researcher.
Ordinal Level of Measurement
they can be arranged in some order and differences in data values can not be found