Sampling Distribution (Parameters & Statistics):
Sample mean x^
Sample proportion p^
Population mean 𝝁
Population proportion p
⭐️As n increases, the spread decreases and the sampling distribution of p becomes approximately Normal
Always Identify:
Parameter (what we are trying to find)
Population (what group you’re doing research on)
Sample (selected amount of the population)
Statistic (a numerical value that represents a data point of the sample)
Distributions of Sample Data:
The population distribution
The distributions of sample data
The sampling distribution
Sampling Distribution of a Sampling Porportion:
Mean(p^)=P
Standard Deviation: squareroot p(1-p)/n
10% Rule: np ≥ 10%of n and n(1-p)≥10% of n (if both are correct, distrubution is approximately normal)
⭐️Biased=unequal and unbiased=equal