AP Statistics Vocabulary List – Flashcards
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When your discovered p-value is less than your alpha (.05 if not given). States that chance alone would rarely produce an equally extreme result.
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Statistical Significance
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A bias caused by a number of people who did not respond to the survey.
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Non-Response Bias
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The probability of getting a result at least as extreme as the result given from the test. The lower the value the stronger the evidence.
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p-Value
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States that, in a normal distribution, about 68% of the terms are within one standard deviation of the mean, about 95% are within two standard deviations, and about 99.7% are within three standard deviations (normal curve).
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Empirical rule
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A variable other than x and y that simultaneously affects both variables, accounting for the correlation between the two.
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Lurking Variable
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The hypothesis that states there is no difference between two or more sets of data in a significance test.
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Null Hypothesis
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A sample deliberately constructed to reflect several of the major characteristics of a given population.
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Quota Sample
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The likelihood that a particular event will occur.
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Probability
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Statistical procedures used to describe characteristics and responses of groups of subjects.
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Descriptive Statistics
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The middle score in a distribution; half the scores are above it and half are below it.
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Median
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A graphical representation of a quantitative data set. Leading values of each data point are presented as stems and second digits are given as leaves.
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Stemplot
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Information gathered from observations.
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Data
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The range of percentage points in which the sample accurately reflects the population, the range surrounding a sample's response within which researchers are confident the larger population's true response would fall.
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Margin of Error
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A sample which follows the Empirical Rule for distribution.
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Normal
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Every member of the population has a known and equal chance of selection.
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Simple Random Sample
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The distribution of values taken by the statistic in all possible samples of the same size from the same population.
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Sampling Distribution
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Using the Least Squares Regression Line to predict a y-value for an x-value within the x-data set.
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Interpolation
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Data identified by something other than numbers.
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Qualitative
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The ratio of the number of favorable outcomes to the number of possible outcomes if all outcomes have the same chance of happening.
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Theoretical Probability
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The random assignment of subjects to treatments is carried out separately within each block.
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Block Design
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The line that minimizes the sum of squared residuals.
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Least Squares Regression Line
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An 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.
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Type II Error
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A bar graph that shows the frequency of data within equal intervals.
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Histogram
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Occurs when some groups in the population are left out of the process of choosing the sample.
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Undercoverage
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The number of responses for a given characteristic.
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Joint Frequency
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Either two measurements are taken on each individual such as pre and post OR two individuals are matched by a third variable (different from the explanatory variable and the response variable) such as identical twins.
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Matched Pairs
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The probability that a particular event will occur, given that another event has already occurred.
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Conditional Probability
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The datum which occurs the most in a set of data.
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Mode
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A sample drawn by selecting individuals systematically from a sampling frame.
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Systematic Sample
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All possible outcomes of an experiment.
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Sample Space
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An unintended difference between the conditions of an experiment that could have affected the dependent variable.
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Confounded Variable
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Probability based on what happens when an experiment is actually done.
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Experimental Probability
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Experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which is assumed to be an active agent.
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Placebo Effect
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Row and column totals in a contingency table (cross-tabulation) that represent the univariate frequency distributions for the row and column variables.
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Marginal Frequency
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A numerical measurement describing some characteristic of a population.
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Parameter
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Bias introduced to a sample when individuals can choose on their own whether to participate in the sample.
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Voluntary Response Bias
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The arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores.
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Mean
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The hypothesis which states the Null Hypothesis is incorrect in a significance test.
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Alternative Hyothesis
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The measure of a relationship between two variables or sets of data.
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Correlation
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Anything in the survey design that influences the responses from the sample.
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Response Bias
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Measures the percentage of variation in a dependent variable explained by one or more independent variables (r^2).
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Coefficient of Determination
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A sample in which every element in the sample has an equal chance of being selected.
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Random Sample
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An experiment in which a set number of trials is used.
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Binomial
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The act of conducting a controlled test or investigation.
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Experiment
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Law stating that a large number of items taken at random from a population will (on the average) have the population statistics.
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Law of Large Numbers
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An extreme deviation from the mean.
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Outlier
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Estimating a value outside the range of measured data.
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Extrapolation
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Samples in which informants provide contact information about other people who share some of the characteristics necessary for a study.
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Snowball Sample
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A relationship between two sets of data or two datum which states the outcome of one has no effect on the outcome of the other.
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Independent
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Range of the middle 50% of the values; Q3-Q1 = 75th percentile - 25th percentile.
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IQR
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A line graph that depicts cumulative frequencies.
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Ogive
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The range of values within which a population parameter is estimated to lie.
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Confidence Interval
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The standard deviation of a sampling distribution.
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Standard Error
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An experiment which observes individuals and measures variables of interest but does not attempt to influence the responses.
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Observational Study
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The difference between an observed value of the response variable and the value predicted by the regression line.
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Residual
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A sample that includes members of the population that are easily accessed.
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Convenience Sample
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The act of repeating an experiment to get more accurate statistical evidence.
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Simulation
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A parameter of the t distribution. When the t distribution is used in the computation of an interval estimate of a population mean, the appropriate t distribution has n-1 degrees of freedom, where n is the size of the simple random sample.
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Degrees of Freedom
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Graphs a dot for each case against a single axis.
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Dotplot
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A table containing counts for two categorical variables. It has r rows and c columns.
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Two-way Table
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An experiment in which there is no set number of trials but is ended by achieving an outcome.
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Geometric
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Statistics that are used to interpret data and draw conclusions.
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Inferential Statistics
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A descriptive feature in which describes the range of the data graphically.
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Spread
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Variable where the number of outcomes can be counted and each outcome has a measurable and positive probability.
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Discrete Random Variable
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The entire aggregation of items from which samples can be drawn.
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Population
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Items selected at random from a population and used to test hypotheses about the population.
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Sample
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The sampling distribution of the mean will approach the normal distribution as n increases (n>30).
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Central Limit Theorem
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A measure of variability that describes an average distance of every score from the mean (r).
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Standard Deviation
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A sampling design in which entire groups are chosen at random.
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Cluster Sample
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An 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.
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Type I Error
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A value found by subtracting the mean and dividing by the standard deviation.
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Standardized Value
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Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values.
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Boxplot
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Each event or variable is independent from one another. No event or variable will have an effect on the probability of outcome for any other event or variable.
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Mutually Exclusive
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A graphed cluster of dots, each of which represents the values of two variables.
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Scatterplot
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The population is divided into strata and a random sample is taken from each stratum.
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Stratified Sample
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Data or datum being numerically defined.
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Quantitative
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A type of response bias where the question is posed to achieve a desired result.
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Wording Bias
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A cause and effect relationship in which one variable controls the changes in another variable.
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Causation
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A numerical measurement describing some characteristic of a sample.
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Statistic
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A descriptive feature which describes the placement and relation of the median to the other parts of the graphic representation.
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Center
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A parametric inferential statistical test of the null hypothesis for a single sample where the population standard deviation is known.
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z-Test
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A parametric inferential statistical test of the null hypothesis for a single sample where the population standard deviation is unknown.
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t-Test
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uses sample data to test hypotheses about the shape or proportions of a population distribution. The test determines how well the obtained sample proportions fit the population proportions specified by the null hypothesis.
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Chi-Squared Goodness of Fit