Statistical inference: confidence intervals
11 important questions on Statistical inference: confidence intervals
What is crucial for statistical inference methods?
- probability calculations of interference methods are based on a sampling distribution.
Which kind of statistical inference methods are there?
- estimation of population parameters
- testing hypotheses about parameter values.
How do we call an interval of numbers, constructed through estimation, of which an unknown parameter value is believed to fall?
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What are two properties of a good estimate?
- the sampling distribution center (mean) aligns with the parameter.
- a good estimator has a small standard deviation.
When is an estimator unbiased?
If the point estimate is 50500 with a margin of error is 2000 what is the interval?
How do we call a number that indicates the probability that the parameter falls within the interval estimate?
How do we call a measurement of how accurate a point estimate is likely to be estimating the parameter?
How is the margin of error calculated?
What is a criteria for calculating the confidence interval with ^p +/- 1,96*se?
Which z-score should you use to calculate a 99% confidence interval for a population proportion?
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