Estimation of Parameters
A value that describes the characteristic of a sample
What is a Statistic?
The meaning of sampling
What is getting a portion of the population?
The meaning of both parameter and statistic
What are a measure/characteristic which describes the population and a measure/characteristics which describes the sample
The average of the sampling distribution
What is the mean?
Do you want some bonus points?
Yes for full points
or
No for zero pints
The types of sampling
What are random and non - random?
A distribution using the means computed from all possible random samples of a specific size taken from a population
What is sampling distribution of sample means?
States that as the sample size increases without limit, the shape of the distribution taken from a population will approach a normal distribution
What is the Central Limit Theorem?
An example of a parameter
population mean
Difference of random from non-random
What is random is non-biased, while non-random is biased?
Gives the number of samples that can be drawn from a population
What is NCn?
What are a measure/characteristic which describes the population and a measure/characteristics which describes the sample
parameter and statistic
The participants in the activity
Amazing Statistical Reasoning students
The types of random sampling
What are simple random, systematic, stratified, cluster, and multi-stage?
The first 2 steps of creating a sampling distribution
What are list down the samples and their sample means?
Something that states that as the sample size increases without limit, the shape of the distribution taken with replacement from a population will approach a normal distribution
What is Central Limit Theorem?
symbol for sample mean
x bar
The types of non-random sampling
What are purposive, convenience, quota, snowball, and self-selection?
The last 3 steps of making a sampling distribution
What are getting the frequency and probability of the sample means, and creating a histogram?
purposive, convenience, quota, snowball, and self-selection
Non random sampling methods
or
Biased sampling methods