Chapter 3 Flashcards
Drawing a conclusion on a population based on information from a sample
Statistical inference
A number that describes a population
Parameter
A number gathered from a sample
Statistic
The distance between the sample statistics gained from the different samples of a population that are equal in size
Sampling distribution
The spread of the data is also referred to as…
Variability
The standard deviation of the sample statistic that is used to determine how much the statistics differ from sample to sample
Standard error
It gives a range of plausible values from a statistic to try to capture the parameter
Interval estimate
It reflects the precision of the statistic to estimate the parameter.
Margin of error
It is the proportion of all samples that have intervals that contain the parameter.
Confidence interval
95% of the statistic intervals will capture the parameter is known as…
95% confidence interval
The sentence template to explain a 95% confidence interval
“We are 95% confident/sure that the true [parameter] of [variable/what is studied] is between [lower interval number] and [upper interval number]”
A random sample is taken with replacements from the original sample, of the same size as the original sample
Bootstrap sample
The statistic computed on a bootstrap sample
Bootstrap statistic
The distribution of many bootstrap statistics
Bootstrap distribution
Size of a large sample size
n >/= 30
