Chapter 8 - Parameter Estimation Flashcards
What is a critical value of a statistic?
The value of a statistic that marks the boundary of a specified area (such as .05 or 0.1) in the tail of a distribution.
What is a point estimate?
A computed statistic that approximates a parameter.
A single value given as an estimate of a parameter of a population.
What is an unbiased estimator?
A point-estimate such that if we repeated the point-estimating process infinitely often, the same number of point-estimates would be too high as too low.
What is a 95% confidence interval?
A range of values that has a 95% probability of containing the actual value of a parameter.
What is the level of confidence?
The probability that a given confidence interval contains the actual value of the parameter.
Where is the confidence level centered on?
The confidence level is centred on x (mean of sample) and extends about two standard errors in each direction. Note the x needs a - above it.
Steps for eyeball estimating a confidence interval when the standard deviation of a population is known.
- Eyeball-estimate the sample mean
- Ascertain population standard deviation
- Divide the known standard deviation by square root of sample size to obtain the standard deviation of the mean of the sample.
- Double the standard deviation of the sample mean.
- Both subtract and add that result to the mean of the sample.
Finish this sentence - The more confidence you require…
the wider the confidence interval must be.
What are student’s t distributions?
A family of distributions that, like z (standard score), are unimodal, symmetric, and asymptotic, but the exact shape (unlike z) depends on the degrees of freedom.
Who is William S Gossett?
The observation that the confidence interval must be wider when the standard deviation of a population is unknown was first made in the early 1900s by William S Gossett, a chemist at an Irish brewery. He wrote under the pen name ‘student’.
Box 8.5
see p. 192
What are the four factors that affect the width of a confidence interval?
- Increasing the sample size makes the confidence interval narrower.
- Decreasing standard deviation of a population or the standard deviation of a sample makes the confidence interval narrower.
- The confidence interval when standard deviation of a population is known is generally narrower than when the standard deviation of a population is unknown.
- Decreasing the level of confidence makes the confidence interval narrower.