Week 2: Confidence Intervals and Estimation Flashcards
What do we use as a point estimate?
We use the statistic from a sample as a point estimate for a population parameter
Will point estimates match our population parameters?
Point estimates will not match population parameters exactly, but they are out best guess.
What are interval estimates?
Estimates that give a range of plausible values for a population parameter.
When are values most plausible?
Close to the point estimate = more plausible
When are values less plausible?
Far from the point estimate = less plausible
What is the margin of error?
One common form for an interval estimate is statistic ± margin of error
What does the margin of error reflect?
The margin of error reflects the precision of the sample statistic as a point estimate for the parameter.
Margin of Error question example… An ICM poll for the Guardian gave NO a lead of 51% to 49% (Scotland independence).
Polls in the news often have a margin of error of around 3%. In the absence of further information, assume a margin of error of 3%
51% ± 3% = [48%, 54%]
How do we determine the margin of error?
We can use the standard deviation of the sampling distribution (the standard error) to determine the margin of error for a statistic
What is the relationship between standard deviation of the sampling distribution and the margin of error?
The higher the standard deviation of the sampling distribution, the higher the margin of error.
What is a confidence interval?
A confidence interval for a parameter is an interval computer form a sample data by method that will capture the parameter for a specified proportion of all samples.
What is the confidence level?
The success rate (proportion of all samples whose intervals contain the parameter) is known as the confidence level
What will a 95% confidence interval contain?
A 95% confidence interval will contain the true parameter for 95% of all samples
What is the 95% confidence interval?
95% Confidence Interval: If the sampling distribution is relatively symmetric and bell-shaped, a 95% confidence interval can be estimated using statistic ± 2 x SE (statistic ± margin of error).
What does 95% confidence interval mean in terms of getting it wrong?
95% CI means you are going to be wrong 5 out of 100 times. Or 1 in 20. Also, you won’t normally know when you are wrong, only how often you will be wrong