AP Stats Review Flashcards

6335406914	A statistic that is the defined as the 75th percentile	Q3	0
6335413187	Cluster sample	Separating the population into heterogeneous groups and sampling an entire cluster.	1
6335413188	Stratified sample	Separating the population into homogeneous groups and sampling a small portion of each group.	2
6335417304	non response bias	Not being able to reach individuals who were randomly chosen to be in your sample	3
6335420424	bias	A method of sampling that consistently over- or underestimates the value you want to estimate	4
6335422129	voluntary response bias	Obtaining a sample by putting out a general invitation and using whoever chooses to respond	5
6335424689	How to increase power	increase alpha, sample size and effect size	6
6335427350	How to decrease bias	no can do	7
6335430238	How to decrease variability	increase sample size	8
6335439685	Left skewed distribution	insert image of histogram	9
6335441931	Right skewed distribution	insert image of boxplot	10
6335448241	Type I error	incorrectly rejecting the null	11
6335450003	Type II error	incorrectly not finding evidence for Ha	12
6335450004	Power	correctly rejecting the null hypothesis	13
6335471792	The median of the first half of the data	Q1	14
6335494151	mutually exclusive events	Events that have no common outcomes; cannot occur together	15
6335494152	conditional probability	Probability that one event occurs knowing another one already occurred	16
6335494153	Independent events	The occurrence of one event does not change the probability of the other event	17
6335510258	sample proportion		18
6335512442	population proportion		19
6335514265	sample mean		20
6335514266	population mean		21
6335518830	The 10% rule allows us to	calculate the standard deviation of the sampling distribution	22
6335523585	The Large Counts condition allows us to conclude	the shape of the sampling distribution of p hat is approximately normal	23
6335526983	The Central Limit Theorem allows us to conclude	the sampling distribution of x bar is approximately normal when the sample size is at least 30.	24
6335540241	Chi-Square for homogeneity answers this question...	Is the specified distribution of the variable correct?	25
6335540242	Chi Square for independence answers this question....	Is the distribution of the variable the same for all the populations?	26
6335544989	Chi Square goodness of fit answers this question ...	Is there an association between the two variables?	27
6335578842	Degrees of freedom for a t-test	n - 1	28
6335587125	Degrees of Freedom for chi-square goodness of fit test	number of categories - 1	29
6335597956	Degrees of freedom for chi-square test for homogeneity	(number of rows - 1)(number of columns - 1)	30
6335610881	How to describe a graphical display of one variable quantitative data	Shape Outliers Center Spread	31
6335615496	How to display one variable quantitative data	boxplot stemplot histogram dotplot	32
6335620073	How to display two variable quantitative data	scatterplot	33
6335627663	When the p-value < alpha	yey! We found convincing evidence for Ha	34
6335633204	When the p-value is > alpha	we're sad because we didn't find evidence of what we are looking for.	35
6335644349	Experiment	imposes a treatment on subject and measures variables of interest	36
6335644350	Observational Study	measures variables of interest with no influence on subject	37
6335673440	What happens to the standard deviation of a random variable when you add a constant?	Nada	38
6335673441	What happens to the mean of a random variable when you multiply by a constant.	It increases/decreases by a factor of that constant.	39
6386129125	How to describe a graphical display of two variable quantitative data	Direction Outliers Form Strength	40
6386132171	How to display categorical data	Bar graph Pie Chart	41