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

AP Statistics Midterm Review Flashcards

Terms : Hide Images
80475443025 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
8047544303z 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
8047544304standard 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
8047544305population(statistics) the entire aggregation of items from which samples can be drawn What the sample in an experiment or study usually reperesents3
8047544306categorical dataData that can be placed into categories . For example "gender" is a categorical data and the categories are "male" and "female". Labels or names used to identify categories of like items If you asked people in which month they were born or what their favorite class is, they would answer with names, which would be categorical data. However, if you asked them how many siblings they have, they would answer with numbers, not categories Labels or names used to identify categories of like items4
8047544307quantitative 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
8047544308bar grapha type of graph in which the lengths of bars are used to represent and compare data in categories A graph that uses horizontal or vertical bars to represent data.6
8047544309sampleA 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
8047544310randomAssigning 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
8047544311biasAny systematic failure of a sampling method to represent its population Any way that tampers with the accuracy of the sample9
8047544312UndercoverageA sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population. When some groups in the population are left out of the process of choosing the sample10
8047544313nonresponsebias introduced to a sample when a large fraction of those sampled fails to respond When many people of a sample do not respond11
8047544314voluntary response biasBias introduced to a sample when individuals can choose on their own whether to participate in the sample.12
8047544315statisticApplication of mathematics to describing and analyzing data13
8047544316independent(statistics) a variable whose values are independent of changes in the values of other variables14
8047544317historgramgraphical representation of a frequency distribution using vertical bars but bars touch each other to indicate variables are related15
8047544318box 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.16
8047544319scatterplotA 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).17
8047544320correlationA 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 +118
8047544321skewnessThe 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 center19
8047544322variencecommons measure of spread about the mean as center, standard deviation squared20
8047544323statistical 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 low21
8047544324empirical 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 curve22
8047544325lurking variableA variable that has an important effect on the relationship among the variables in a study but is not one of the explanatory variables studied23
8047544326probabilityA 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 1/3.24
8047544327descriptive statisticsMathematical procedures for organizing collections of data, such as determining the mean, the median, the range, the variance, and the correlation coefficient25
8047544328meanA 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.26
8047544329medianA 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.27
8047544330modeMeasure of central tendency that uses most frequently occurring score.28
8047544331rangeDistance between highest and lowest scores in a set of data.29
8047544332dataFacts and statistics collected together for reference or analysis30
8047544333Q1A 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.31
8047544334Q3A 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 data32
8047544335minimum(n.) the smallest possible amount; (adj.) the lowest permissible or possible33
8047544336outlierA value much greater or much less than the others in a data set34
8047544337statistical normalscoring the middle of the bell-curve; low, moderate, or high scoring35
8047544338simple 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. A sample of size n selected from the population in such a way that each possible sample of size n has an equal chance of being selected.36
8047544339stratified 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 stratum37
8047544340systematic 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.38
8047544341cluster sampleIs obtained by selecting all individuals within a randomly selected collection or group of individuals.39
804754434210% rulea sample has to be less than 10% of the whole population40
8047544343InterpolationThe 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.41
8047544344QualitativeData in the form of recorded descriptions rather than numerical measurements.42
8047544345theoretical probabilityA probability obtained by analyzing a situation. If all of the outcomes are equally likely, you can find the theoretical probability of an event by listing all of the possible outcomes and then finding the ratio of the number of outcomes producing the desired event to the total number of outcomes. For example, there are 36 possible equally likely outcomes (number pairs) when two fair number cubes are rolled. of these six have a sum of 7, so the probability of rolling a sum of 7 is 6/36 or 1/643
8047544346block designThe subjects in an experiment are first divided into groups (called 'blocks') based on some common characteristic (such as gender) that is hypothesised to have an effect on the response. Randomization of treatments then happens within each block (each block is like its own mini-experiment)."44
8047544347blindingThe practice of concealing group assignment from study subjects, investigators, and/or those who assess subject outcomes, typically in the context of a randomized controlled trial. For ex, study subjects may receive capsules with identical appearance and taste; however, the treatment group receives the active drug, whereas the control group receives the placebo.45
8047544348double blindAn experiment in which neither the subjects nor the people who work with them know which treatment each subject is receiving Neither the subjects nor the people who have contact with them know which treatment a subject received46
8047544349placeboA fake treatment. A chemically inert substance that produces real medical benefits because the patient believes it will help her47
8047544350least squares regression linethe line with the smallest sum of squared residuals48
8047544351matched 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 variable49
8047544352conditional prababilityprobability given that something else has already occurred50
8047544353sample spaceSet of all possible outcomes of an experiment51
8047544354confounded variableA variable whose effect on the response variable cannot be separated from the effect of the explanatory variable on the response variable. (Note: Usually confounded variables are lurking variables but only a few lurking variables are also confounded.)52
8047544355marginal frequencyA set of intervals, usually adjacent and of equal width, into which the range of a statistical distribution is divided, each associated with a frequency indicating the number of measurements in that interval.53
8047544356coefficient of determinationThe statistic or number determined by squaring the correlation coefficient. Represents the amount of variance accounted for by that correlation. Statistic that represents amount of variance accounted for by a correlation.54
8047544357unimodalhaving one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped a data set with one mode such a normal distribution usually has only one mode55
8047544358bimodalA type of distribution, where there is two or more categories with an equal count or cases and with more cases than the other categories. A distribution with two modes56
8047544359experimentA kind of research in which the researcher controls all the conditions and directly manipulates the conditions, including the independent variable. Testing the hypothesis57
8047544360extrapolationcalculation of the value of a function outside the range of known values58
8047544361IQRA measure of variability, based on dividing a data set into quartiles Difference between upper and lower quartile of a boxplot59
8047544362Residualobserved value - predicted value60
8047544363Convenience sampleWhenever a sample is taken it gives an improper results because the sample was taken from a very convenient area instead of representing a population61
8047544364simulationA representation of a situation or problem with a similar but simpler model or a more easily manipulated model in order to determine experimental results.62
8047544365two way tableA table containing counts for two categorical variables. It has r rows and c columns. describes to categorical variables with row variable and column variable63
8047544366spreadThe visible variation in a sample distribution64
8047544367centerThe measure of the distance the mode is from the center of a distribution65
8047544368shape66
8047544369discrete random variablea random variable that can take one of a finite number of distinct outcomes67
8047544370standardized valueThe z-score obtained from standardizing an x-value.68
8047544371mutually exclusiveEvents that cannot occur at the same time.69
8047544372wording biasWhenever a bias is created in a sample by the way the survey is worded to favor one question70
8047544373causationA cause and effect relationship in which one variable controls the changes in another variable.71
8047544374frequency tableA grouping of qualitative data into mutually exclusive classes showing the number of observations in each class. A chart showing the number of times a specific event happens.72
8047544375stem and leaf displayA multiple column table depicting the individual digits of the scores. A score of 95 would have a stem of 9 and a leaf of 5, a score of 62 would have a stem of 6 and a leaf of 2. If a particular stem has more than one leaf, such as the scores 54, 58, and 51, the stem of 5 has three leaves, in this case 458. . It shows the range of values of the variable73
8047544376multimodalDescribes a graph of quantitative data with more than two clear peaks. A distribution with more than two modes74
8047544377uniformA histogram doesn't appear to have any mode and in which all the bars are approximately the same height Evenly spaced75
8047544378symmetricWhen in a normal distribution both sides are identical76
8047544379sestandard deviation of residuals77
8047544380r^2overall measure of how successful the regression is in linearlly relating to y and x78
8047544381influential pointan observation that when removed would markedly change the LSRL79
8047544382censusWhen a survey has no sample but instead tests or surveys the entire population80
8047544383multistage samplea sampling design where several sampling methods are combined81
8047544384convenience sampleChoosing a sample because it is convenient. failing to get a proper representation of the population because If you survey everyone on your soccer team who attends tonight's practice, you are surveying a convenience sample.82
8047544385response biasAnything in a survey design that influences responses falls under the heading of response bias. One typical response bias arises from the wording of questions, which may suggest a favored response. Voters, for example, are more likely to express support of "the president" than support of the particular person holding that office at the moment. Anything that changes the response in a survey A police officer asking teenagers about drug use83
8047544386observational studyA study based on data in which no manipulation of factors has been employed. A study that observes characteristics of an existing population. usually a survey84
8047544387control groupIn an experiment, the group that is not exposed to the treatment; contrasts with the experimental group and serves as a comparison for evaluating the effect of the treatment.85
8047544388blindingThe practice of concealing group assignment from study subjects, investigators, and/or those who assess subject outcomes, typically in the context of a randomized controlled trial. For ex, study subjects may receive capsules with identical appearance and taste; however, the treatment group receives the active drug, whereas the control group receives the placebo.86
8047544389placebo effectExperimental 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.87
8047544390trialeach repetition or observation of an experiment88

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!