312 the one sample t-test

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exam 2

Created Jan 11, 2012
by
gialam92

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 Side A Side B 1 random variability between observations or statistics that is simply due to chance sampling error 2 what is "s" sample standard deviation 3 what is "o" population standard deviation 4 what are the two approach if n < 30 1. when pop SD is known - use normal distribution and z-score2. when pop SD is not known -... 5 why does sample size matter? t-distribution becomes closer and closer to the z-score (standard normal) distribution as sample... 6 what happens when sample size >30 differences between the t-distribution and the z-distribution are extremely small thus,... 7 distribution of samples means over repeated sampling from population sampling distribution of the mean 8 mean of sampling distribution = population mean 9 what is the basis of the Central Limit theorem approaches normal as the sample size (n) increases 10 given a population with mean = u and standard deviation = o, the sampling dist of the mean... central limit theorem 11 what happens when SD is not known? cannot plug in SD into formula 12 so what do we do without SD? two things - replace SD with Sand use t-table instead of z-table (use t-scores instead) 13 when does t-distribution become closer to z-score? as sample size approaches infinity 14 used to adjust shape of distribution based on sample ssize degree of freedom 15 equation of degree of freedom df = n - 1