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- 1StatisticA statistic is a numerical value computed from a sample e.g sample mean, sample standard deviation and sample proportion
- 2ParameterA parameter is a numerical value associated with a population e.g population mean, population standard deviation and population proportion
- 3Paired Data(or paired samples)when pairs of variables are collected. Only interested in population (and sample) of differences, and not in the original data
- 4Independant SamplesTwo samples are called independent samples when the measurements in one sample are not related to the measurements in the other sample
- 5The law of large numbers LLN Lthe sample mean will eventually get close to the population mean no matter how small a difference you use to define close
- 6The Central Limit Theorem (CLT)The Central Limit Theorem states that is n is sufficiently large, the sample means of random samples from a population with mean and finite standard deviation (pop) are approximately normally distributed with mean u and standard dev pop u / sqrt(n)
- 7Sampling distribution for Any StatisticEvery statistic: has a sampling distribution, but the appropriate distribution may not always be normal, or even approximately bell-shaped
- 8Construct an approximate sampling distribution for a statisticby actually taking repeated samples of the sample size from a population and constructing relative frequency histogram for the values of the statistic over the many samples
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- Fichas sobre Sin título, creado por Cherese Eriepa el 19/06/2016.
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