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- 1why take a sample?less time consuming, less costly, and more practical
- 2simple random sampleevery individual or item from the frame has an equal chance of being selected.
- 3sampling distributionis a distribution of all of the possible values of a sample statistic for a given size sample selected from a population
- 4sampling distribution propertieswhen n increases then standard deviation decreases
- 5central limit theoremas the sample size gets large enough the sampling distribution becomes almost normal regardless of shape of population
- 6a point estimate isa single number and a confidence interval provides additional information about the variability of the estimate
- 7an interval estimate providesmore information about a population characteristic than does a point estimate
- 8which table is used when pop standard deviation is known?z table
- 9which table is used when pop standard deviation is unknownt table
- 10which do you calculate first between mean and standard deviation?mean because in order to calculate standard deviation you need mean
- 11students t distributionis symmetrical and bell shaped, is more variable than standardized normal, when sample size gets large t approaches normal
- 12can confidence ever be 100%no because it is based on sample and you would have to take the whole population
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- Fichas sobre Sin título, creado por yaydjones el 10/03/2014.
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