NSG 522 MODULE 5 -TEST
Inferential statistics - ANSWER allows us to look beyond the facts and
generalize the bigger population.
There are two major domains of statistical inference:
- Estimate the population parameters.
o Used to estimate population parameters, like means and proportions.
- Hypothesis testing.
o A relation between variables.
o A distinction between groupings.
ANSWER: Population Parameters (P for P)
Greek letters are used to report population parameters, such as μ (n) and σ
(standard deviation).
You can never know the true population values; you can only estimate the
parameters.
Do not report parameters (e.g. μ, σ).
ANSWER: Sample statistics are used to describe samples.
Sample statistics are presented in Roman letters (e.g., M, SD).
Statistics provide estimates of population parameters.
, When reporting the outcomes of study, always utilize sample statistics in
Roman letters (letters we use every day).
M instead of μ.
SD instead of σ.
Sampling is the process by which researchers pick people from the community
under study.
Never presume that a random sampling procedure was utilized!
The most effective method is random sampling.
ANSWER: Probability samples = random sampling.
• Every member of the population has a chance to be chosen.
• The likelihood of selection can be calculated.
• Probability sampling techniques:
simple random, systematic, stratified random, cluster.
Random sample - ANSWER Enumerate the entire population.
Choose the required number of individuals at random.
Each person has the same chance of being selected.
Number the entire sample and select a specific number of persons at random to
test.
Inferential statistics - ANSWER allows us to look beyond the facts and
generalize the bigger population.
There are two major domains of statistical inference:
- Estimate the population parameters.
o Used to estimate population parameters, like means and proportions.
- Hypothesis testing.
o A relation between variables.
o A distinction between groupings.
ANSWER: Population Parameters (P for P)
Greek letters are used to report population parameters, such as μ (n) and σ
(standard deviation).
You can never know the true population values; you can only estimate the
parameters.
Do not report parameters (e.g. μ, σ).
ANSWER: Sample statistics are used to describe samples.
Sample statistics are presented in Roman letters (e.g., M, SD).
Statistics provide estimates of population parameters.
, When reporting the outcomes of study, always utilize sample statistics in
Roman letters (letters we use every day).
M instead of μ.
SD instead of σ.
Sampling is the process by which researchers pick people from the community
under study.
Never presume that a random sampling procedure was utilized!
The most effective method is random sampling.
ANSWER: Probability samples = random sampling.
• Every member of the population has a chance to be chosen.
• The likelihood of selection can be calculated.
• Probability sampling techniques:
simple random, systematic, stratified random, cluster.
Random sample - ANSWER Enumerate the entire population.
Choose the required number of individuals at random.
Each person has the same chance of being selected.
Number the entire sample and select a specific number of persons at random to
test.
