AP Notes, Outlines, Study Guides, Vocabulary, Practice Exams and more!

AP Statistics Vocabulary Flashcards

Terms : Hide Images
140806508955 number summaryThe minumum value, lower quartile, median, upper quartile, and maximum value for a data set. These five values give a summary of the shape of the distribution and are used to make box plots. The five numbers that help describe the center, spread and shape of data0
14080650896z scorea measure of how many standard deviations you are away from the norm (average or mean) -Number of standard deviations a score is above or below the mean (positive above, negative below1
14080650897standard deviationA statistical measure of how far away each value is, on average, from the mean. A measure of spread. Specifically, the typical distance the data points are from the mean.2
14080650898population(statistics) the entire aggregation of items from which samples can be drawn What the sample in an experiment or study usually reperesents3
14080650899categorical dataData that can be placed into categories . For example "gender" is a categorical data and the categories are "male" and "female". of like items4
14080650900quantitative dataData associated with mathematical models and statistical techniques used to analyze spatial location and association. numerical information describing how much, how little, how big, how tall, how fast, etc. age is quantitative5
14080650902parameter(n) a determining or characteristic element; a factor that shapes the total outcome; a limit, boundary a characteristic or constant factor something that determines the limits of certain data values6
14080650903sampleA relatively small proportion of people who are chosen in a survey so as to be representative of the whole. a small part of a population that represents the whole A survey in star city representing the entire state of arkansas7
14080650904randomAssigning participants to experimental and control conditions by chance, thus minimizing preexisting differences between those assigned to the different groups. Assigning subjects to expenrimental groups based on chance. pulling names or numbers out of a hat8
14080650905biasAny systematic failure of a sampling method to represent its population Any way that tampers with the accuracy of the sample9
14080650910independent(statistics) a variable whose values are independent of changes in the values of other variables10
14080650911histogramgraphical representation of a frequency distribution using vertical bars but bars touch each other to indicate variables are related11
14080650912box plotA dsiplay that shows the distribution of values in a data set seperated into four equal-sized groups. A box plot is constructed from the five number summary of the data.12
14080650913scatterplotA graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables. The amount of scatter suggests the strength of the correlation (little scatter indicates high correlation).13
14080650914correlationA measure of the extent to which two factors vary together, and thus of how well either factor predicts the other. The correlation coefficient is the mathematical expression of the relationship, ranging from -1 to +114
14080650915skewnessThe extent to which cases are clustered more at one or the other end of the distribution of a quantitative variable rather than in a symmetric pattern around its center15
14080650916variencecommons measure of spread about the mean as center16
14080650917statistical significanceA statistical statement of how likely it is that an obtained result occurred by chance/The condition that exists when the probability that the observed findings are due to chance is very low17
14080650918P-valueA measure of statistical significance. The lower, the more likely the results of an experiment did not occur simply by chance.18
14080650919empirical ruleThe rules gives the approximate % of observations w/in 1 standard deviation (68%), 2 standard deviations (95%) and 3 standard deviations (99.7%) of the mean when the histogram is well approx. by a normal curve19
14080650921null hypothesisHypothesis that predicts NO relationship between variables. The aim of research is to reject this hypothesis20
14080650922alternate hypothesis, is the hypothesis to be considered as an alternative to the null hypothesis. The null hypothesis will be rejected in favor of the Ha only if the sample data strongly indicate that the null hypothesis is false.21
14080650923probabilityA number with a value from 0 to 1 that describes the likelihood that an event will occur. example, if a bag contains a red marble, a white marble and a blue marble then the probability of selecting a red marble is 1/3.22
14080650924descriptive statisticsMathematical procedures for organizing collections of data, such as determining the mean, the median, the range, the variance, and the correlation coefficient23
14080650925meanA measure of center in a set of numerical data, computed by adding the values in a list and then dividing by the number of values in the list.24
14080650926medianA measure of center in a set of numerical data. The median of a list of values is the value appearing at the center of a sorted version of the list - or the mean of the two central values if the list contains an even number of values.25
14080650927modeMeasure of central tendency that uses most frequently occurring score.26
14080650928rangeDistance between highest and lowest scores in a set of data.27
14080650930Q1A location measure of the data such that has one fourth or 25% of the data is smaller than it. Found by dividing the ordered data set in half (excluding the middle observation if n is odd) and finding the median of the lower half of the data.28
14080650931Q3A location to measeure when counting data to such as the median where instead of counting 50% it is 75% from the beginning of the sorted data29
14080650932minimum(n.) the smallest possible amount; (adj.) the lowest permissible or possible30
14080650933outlierA value greater or less than 1.5 times the Inter-Quartile Range (IQR) beyond the first or third quartiles.31
14080650934margin of errorIn statistical research, the range of outcomes we expect for a population, given the data revealed by a sample drawn from that population32
14080650935simple random sampleA sample selected in such a way that every element in the population or sampling frame has an equal probability of being chosen. Equivalently, all samples of size n have an equal chance of being selected.33
14080650936sampling distributionDistribution of sample proportions from sample to sample. A sampling distribution of a sample statistic for a fixed sample size n is the distribution of that statistic derived from every possible sample of size n for a given population. A distribution of statistics obtained by selecting all the possible samples of a specific size from a population34
14080650937stratified random sampleA method of sampling that involves dividing your population into homogeneous subgroups and taking a simple random sample in each subgroup. a sampling design in which the population is divided into several groups, and random samples are then drawn from each stratum35
14080650938systematic sampleA sample drawn by selecting individuals systematically from a sampling frame A sample drawn by selecting individuals systematically from a sampling frame. When there is no relationship between the order of the sampling frame and the variables of interest, a systematic sample can be representative.36
14080650939cluster sampleIs obtained by selecting all individuals within a randomly selected collection or group of individuals.37
1408065094010% rulea sample has to be lass than 10% of the whole population38
14080650941InterpolationThe estimation of an unknown number between known numbers. Interpolation is a way of approximating price or yield using bond tables that do not give the net yield on every amount invested at every rate of interest and for every maturity.39
14080650942QualitativeData in the form of recorded descriptions rather than numerical measurements.40
14080650949least squares regression linethe line with the smallest sum of squared residuals41
14080650950type I errorAn error that occurs when a researcher concludes that the independent variable had an effect on the dependent variable, when no such relation exists; a "false positive", sending an innocent person to jail, rejecting the null when in fact it is true.42
14080650951type II errorAn error that occurs when a researcher concludes that the independent variable had no effect on the dependent variable, when in truth it did; a "false negative", letting a guilty man go free, failing to reject the null when it is false.43
14080650953matched pairsan observational technique that involves matching each participant in the experimental group with a specific participant in the control group in order to eliminate the possibility that a third variable (and not the independent variable) caused changes in the dependent variable44
14080650954conditional prababilityprobability given that something else has already occurred45
14080650959binomial experimentan experiment in which there are exactly two possible outcomes for each trial, a fixed number of independent trials, and the probabilities for each trial are the same46
14080650964extrapolationcalculation of the value of a function outside the range of known values47
14080650965IQRDifference between upper and lower quartile of a boxplot48
14080650966Confidence intervalA range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable.49
14080650967Standard ErrorA statistic providing an estimate of the possible magnitude to error.50
14080650968Residualdistance an estimate is from the actual/observed value. residual = observed - expected51
14080650969Convenience sampleWhenever a sample is taken it gives an improper results because the sample was taken from a very convenient area instead of representing a population52
14080650971degrees of freedomStatistically written as 'n-1' where n represents the number of subjects.53
14080650978standardized test statisticz score or t score which makes values comparable among multiple data sets54
14080650979mutually exclusivecannot happen together55
14080650982z testused for normal distributions to determine if a result is significantly significant, if the observed results are likely not to be from chance.56
14080650983t testIs often used to test if results are significant with very small samples.57
14080650984chi squared goodness of fittests how close the observed data is to a claimed or expected distribution.58
14080650985frequency tableA grouping of qualitative data into mutually exclusive classes showing the number of observations in each class.59
14080650986stem and leaf displayA multiple column table depicting the individual digits of the data. Includes a key.60
14080650989symmetricWhen in a normal distribution both sides are identical61
14080650991r^2 (coefficient of determination)overall measure of how successful the regression is in linearly relating to y and x62
14080650993censusWhen a survey has no sample but instead test or surveys the entire population63
14080650997observational studyA study based on data in which no manipulation of factors has been employed.64
14080651004MaximumThe largest value in a set of data.65

Need Help?

We hope your visit has been a productive one. If you're having any problems, or would like to give some feedback, we'd love to hear from you.

For general help, questions, and suggestions, try our dedicated support forums.

If you need to contact the Course-Notes.Org web experience team, please use our contact form.

Need Notes?

While we strive to provide the most comprehensive notes for as many high school textbooks as possible, there are certainly going to be some that we miss. Drop us a note and let us know which textbooks you need. Be sure to include which edition of the textbook you are using! If we see enough demand, we'll do whatever we can to get those notes up on the site for you!