AP Stats-Chapter 7 Flashcards

5794204569	parameter	Numerical description of a population characteristic	0
5794205760	statistic	Numerical description of a sample characteristic	1
5794207478	sampling variability	the value of a statistic varies in repeated random sampling	2
5794208034	sampling distribution	the distribution of values taken by the statistic in all possible samples of the same size from the same population	3
5794208781	unbiased estimator	The mean of its sampling distribution is equal to the true value of the parameter being estimated	4
5794218020	variability of a statistic	Described by the spread of its sampling distribution . This spread is determined by the sampling design and the size of the sample. Larger samples give smaller spread	5
5794223929	accurate	unbiased	6
5794223930	precise	low variability	7
5794225456	high bias, low variability	consistently miss the center in the same direction and data points are clustered tightly together off centered	8
5794227931	high bias, high variability	consistently miss the center in the same direction, data points are widely scattered off center	9
5794230690	low bias, low variability	consistently at or around the center and data points are clustered tightly together	10
5794233403	low bias, high variability	consistently at or around the center and data points are widely scattered around the center	11
5794239801	p-hat	sample proportion	12
5794251333	p	population proportion	13
5794252437	mean of sampling distribution of p-hat	equal to the population proportion p	14
5794254060	standard deviation of sampling distribution of p-hat	square root of (p(1-p)) divided by n	15
5794256672	10% condition	n ≤ (1/10)N, sample is smaller than 10% of population	16
5794260661	Large Counts Condition	np>=10 and n (1-p)>=10	17
5831340485	x-bar	sample mean	18
5831342336	mu	population mean	19
5831345265	mean of sampling distribution of x-bar	equal to the population mean, mu	20
5831346284	standard deviation of sampling distribution of x-bar	sigma divided by the square root of n	21
5831347370	Central Limit Theorem	if the population distribution is not Normal then THIS states x-bar will be an approximately Normal distribution if the sample size n is greater than or equal to 30.	22