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| 7273267504 | AP | Advanced Placement. |  | 0 |
| 7273264345 | Statistics | Numerical data used for analysis. The science that collects and studies data. |  | 1 |
| 7292818941 | Sample | A subset of the population. A small part or quantity intended to show what the whole is like. | 2 | |
| 7292826227 | Population of Interest | All people in the world with the characteristic(s) you're looking at, typically unattainable. Population the researchers want to generalize. | 3 | |
| 7292833924 | Population | A group of individuals that belong to the same species and live in the same area. All the inhabitants of a particular town, area, or country. |  | 4 |
| 7292840696 | Numerical | Related to numbers or a series of numbers. |  | 5 |
| 7292850792 | Discrete | Unconnected; separate; distinct. |  | 6 |
| 7292852485 | Continuous | Going on without stopping. Unbroken. |  | 7 |
| 7292859656 | Variables | Factors that can change in an experiment. Factors that can affect the results of an experiment. |  | 8 |
| 7292863543 | Discrete Numerical | Can be counted. Ex: How many times have you eaten at this restaurant? |  | 9 |
| 7292866977 | Graphical Display | A visual representation of a distribution. Pie chart or bar chart. Variation: Pictograph can be misleading. |  | 10 |
| 7292877002 | Bar Chart | Data graphed as a series of bars. A chart (graph) that uses vertical bars to represent a spreadsheet. |  | 11 |
| 7292879868 | Dot Plot | Line plot. A data graph in which each data item is shown as a dot above a number line. |  | 12 |
| 7292895268 | Relative Frequency Distribution | Lists each category of data together with the relative frequency. How often something happens divided by all possible outcomes. | 13 | |
| 7292981098 | Frequency | How often. The rate at which something occurs over a particular period or in a given sample. | 14 | |
| 7292986174 | Relative Frequency | How often something happens divided by all outcomes. A ratio or percent. | 15 | |
| 7293029263 | Frequencies | How many times a topic shows up. __________ are expressed as proportions of the total population. | 16 | |
| 7293040096 | Relative | Considered in relation or in proportion to something else. Compared to. | 17 | |
| 7293052888 | Characteristic | Typical of a particular person, place, or thing. Trait. | | 18 |
| 7293135048 | Shortest | Most short. |  | 19 |
| 7293138417 | Most Common | Frequency distribution. | 20 | |
| 7293149283 | Range | The difference between the highest and lowest scores in a distribution. Distance between highest and lowest scores in a set of data. | 21 | |
| 7293151842 | Unusual | Strange, not common, rare. (Adj) Not usual or ordinary; remarkable. | 22 | |
| 7293171037 | Inferential Statistics | Procedures used to draw conclusions about larger populations from small samples of data. Analysis of data as the basis for prediction related to the phenomenon of interest. | 23 | |
| 7293176280 | A Primary Use of Inferential Statistics | To make generalizations from a sample to a population. | 24 | |
| 7293184393 | A Data Set is Discrete if... | The possible values are isolated points on a number line. | 25 | |
| 7293193072 | Categorical Data | Data that consists of names, labels, or other nonnumerical values. Data that are mutually exclusive and place subjects into specified groups. |  | 26 |
| 7293204626 | Dot Plots Work Best for... | Small and moderate sized numerical data sets. | 27 | |
| 7293210375 | Bar Charts should be used with... | Categorical data. | 28 | |
| 7293216187 | Categorical Data Set | A data set that has categorical responses also known as a qualitative data set. | 29 | |
| 7293220174 | Multivariate | Involving more than two variables. When more than two variables are under scrutiny. |  | 30 |
| 7293249677 | Numeric Variables | -Continuous -Discrete | 31 | |
| 7293254918 | Variability | Quality of services depends on who provides them and when, where, and how. In a set of numbers, how widely dispersed the values are from each other and from the mean. | 32 | |
| 7293261800 | Variable | A factor that can change in an experiment. A factor that can change. | | 33 |
| 7293272483 | Data Analysis Process | Drawing conclusions from data. Descriptive and inferential. | 34 | |
| 7293284600 | Descriptive Statistics | The methods of organizing and summarizing data. Table, graph, percents, averages, and standard deviation. |  | 35 |
| 7293292960 | Table | Represents numerical information by organizing it into columns and rows. A collection of rows and columns. | 36 | |
| 7293294709 | Graph | Represents numerical information spatially. |  | 37 |
| 7293299384 | Percents | Ratios that compare a number to 100. Parts of a hundred. |  | 38 |
| 7293300505 | Averages | Arithmetic average price behavior at a given point in time. Use this to improve reliability. | 39 | |
| 7293316919 | Standard Deviation | A computed measure of how much scores vary around the mean score. The square root of the variance. |  | 40 |
| 7293319105 | Generalizations | Sample to population. Statement of the nature of the relationship between two or more sets of facts. | 41 | |
| 7293330589 | Types of Data | Quantitative and qualitative. | 42 | |
| 7293356646 | Round to... | 3 or 4 decimals. | 43 | |
| 7293357811 | Bivariate | 2 variables. Ex: Hair and eye color. |  | 44 |
| 7293363281 | y-Axis | Starts at 0. | 45 | |
| 7293370759 | Center | Most frequent or middle. |  | 46 |
| 7293377658 | Outliers | Numbers that are much greater or much less than the other numbers in the set. Sample values that lie very far away from the vast majority of the other sample values. |  | 47 |
| 7293380422 | Spread | Highest to lowest data values. Look for: -Max -Min Without the outliers. | 48 | |
| 7293385056 | Comparative Dot Plots | Allows comparison of separate populations. |  | 49 |
| 7293402056 | Univariate Graph | Dot plots and histograms. | 50 | |
| 7293407145 | Symmetrical | Bell-shaped and balanced. Well proportioned; the same on both sides. |  | 51 |
| 7293418279 | Uniform | The same all the way through; consistent. | 52 | |
| 7293419862 | Skewed | Left or right, has a tail. A distribution with its peak well to one side. |  | 53 |
| 7293424972 | Bimodal | A distribution with two clear peaks. Describes a graph of quantitative data with two clear peaks. |  | 54 |
| 7293430490 | Multi-Modal | More than two classes have the largest frequency. |  | 55 |
| 7293435422 | Skew Negatively | Left skew. Tail on the left. |  | 56 |
| 7293437449 | Cluster | Data that are grouped closely together. A number of similar things grouped together. | 57 | |
| 7293439945 | Gap | A region of the distribution where there are no values. An empty space or interval in a set of data. | 58 | |
| 7293450935 | Exploring Data | Observing patterns and departures from patterns. Variable by itself to relationship b/w variables; graph to numerical summary. |  | 59 |
| 7293455902 | Planning a Study | Deciding what and how to measure. |  | 60 |
| 7293458078 | Anticipating Patterns | Producing models using probability and simulation. | 61 | |
| 7293461155 | Statistical Inference | Confirming models. Coming to a conclusion about the population based on the sample. |  | 62 |
| 7311516700 | Graphical Methods for Describing Data | Create and interpret graphs for categorical data. Create and interpret graphs for numerical data. Create and interpret graphs of bivariate numerical data. |  | 63 |
| 7311532435 | Graphs for Categorical Data | Bar graphs, segmented bar graphs, and pie or circle charts. |  | 64 |
| 7311537475 | Graphs for Numerical Data | Stem plots and histograms. | | 65 |
| 7311541258 | Graphs of Bivariate Numerical Data | Scatter plots and time series plots. | 66 | |
| 7311547268 | Pie | Circle. A chart that shows the relationship of a part to a whole. Used for categorical data. |  | 67 |
| 7311552250 | Categorical | Absolute; without exception. | 68 | |
| 7311556832 | Always... | Title graph and include a key or labels. | 69 | |
| 7311564541 | To Describe... | Comment on which occurred the most often or least often and compare categories. | 70 | |
| 7311569282 | Segmented Bar Charts | Stacked bar chart. |  | 71 |
| 7311573357 | Stacked Bar Chart | These graphs use rectangles to illustrate percents or proportions in categories. It's a pie chart, but with a rectangle. Created by hand in place of the pie chart. Simply note the categories with the largest and least percentages and compare categories. |  | 72 |
| 7311588808 | Comparative Bar Charts | Separate bar graphs are created to compare two pr more populations on the same set of vertical or horizontal axis. Include a title. Counts cannot be used on the vertical axis as they can be misleading when sample sizes are not the same. Must use relative frequencies for accurate comparisons between categories. |  | 73 |
| 7311620631 | Title | Descriptive text that is aligned to an axis or at the top of a chart. |  | 74 |
| 7311627387 | Relative Frequencies | Percents found by dividing each class frequency by the total of all frequencies (%). | 75 | |
| 7354432903 | How to Display Numerical Data | Frequency distributions, histograms, etc. |  | 76 |
| 7354441797 | Frequency Distributions | A table or chart that presents counts of values in ranges. Gives classes or categories and gives their count. | 77 | |
| 7354450890 | Histograms | Show trends or compare a number of factors, also called bar or column graphs. Bar graphs. | | 78 |
| 7354460413 | Cumulative Relative Frequency | A ratio of combined frequencies of two or more categories to the total. The total relative frequency up to a given data value. | 79 | |
| 7354469372 | Ogives | Graphs of cumulative frequencies. Uses cumulative frequency greater than and less than. |  | 80 |
| 7354488936 | Cumulative Relative Frequency Tables | Keep track of the proportion of data that falls below the upper boundaries of the classes. | 81 | |
| 7354504345 | Class Interval | A group of values that is used to analyze the distribution of data. A group of scores in a grouped frequency distribution. |  | 82 |
| 7354510731 | Cumulative Relative Frequency Plot | Ogive or graph of cumulative relative frequencies against the upper endpoint of the corresponding interval. A graph of a cumulative relative frequency distribution. | 83 | |
| 7354530332 | Ogive | Pronounced OH-jyv. A cumulative relative frequency plot. | | 84 |
| 7354540523 | Percentiles | The percent of individuals that are at or below a certain value. How is relative standing often represented? |  | 85 |
| 7354562149 | Quartiles are located at every... | 25% of the data. | 86 | |
| 7354568416 | First Quartile | Q1 or the 25th percentile. The median of the lower half of a data set. | 87 | |
| 7354577956 | Third Quartile | Q3 or the 75th percentile. The median of the upper half of a data set. |  | 88 |
| 7354590331 | Q2 | Has a special name. | 89 | |
| 7354601444 | Interquartile Range | IQR or the range of the middle half of the data. IQR = Q3 - Q1 | 90 | |
| 7354611442 | Range of the Middle Half | 50% | 91 | |
| 7354615406 | The Approximate Median Value of the Distribution would be... | A cumulative relative frequency of .5. | 92 | |
| 7354629259 | Ogive Graphs can... | Help answer questions about percents of observations that are at or below a certain value. |  | 93 |
| 7354672117 | Percents of Observations that are At or Below a Certain Value | Percentiles | 94 | |
| 7354679366 | If 60% of All Students Weigh Less Than about 160 Pounds... | The 60th percentile is 160 pounds. | 95 | |
| 7354688072 | Cumulative Frequency | Might be instead of cumulative relative frequency. The sum of the frequencies for that class and all previous classes. | | 96 |
| 7354702411 | Because of the Positively Skewed Data, Sometimes Frequency Distributions are... | Created with unequal class widths. | 97 | |
| 7354717747 | Using Frequency or Relative Frequency with Uneven Class Widths Gives... | A false visual of the data. | 98 | |
| 7354757256 | Density Histogram | Density = (Rectangle Height) Bar area measures the fraction of observations in bin. | 99 | |
| 7354769566 | Rectangle Height | (Relative Frequency of Class) / (Class Width) | 100 | |
| 7354782658 | Interval Width | Class interval. |  | 101 |
| 7354790313 | Density | Not relative frequency. The frequency with which something exists within a given unit of area. | | 102 |
| 7354801334 | When Given a Frequency Distribution... | Check interval widths. | 103 | |
| 7354812462 | If Widths are Equal... | Make a standard histogram. | 104 | |
| 7354816835 | If Widths are Unequal... | Calculate density for each interval and make a density histogram. | 105 | |
| 7354825730 | Proportion | An equation stating that two ratios are equal. A part, share, or number considered in comparative relation to a whole. |  | 106 |
| 7354834650 | Relative Frequency Histogram | x = Relative Frequencies y = Class Boundaries |  | 107 |
| 7354841911 | Histogram | A graph of vertical bars representing the frequency distribution of a set of data. A bar graph depicting a frequency distribution. | | 108 |
| 7354848066 | Stem-and-Leaf Display | Shows quantitative data values in a way that sketches the distribution of the data. |  | 109 |
| 7354883730 | Stem and Leaf Displays | Not split, split, and comparative. Display used for summarizing quantitative variables and splits data values into two parts. | | 110 |
| 7354894659 | Stem-and-Leaf Diagram | A quick technique for picturing the distributional pattern associated with numerical data. A picture. Commonly called a stem plot. |  | 111 |
| 7354924612 | Looking at a Range of Data, Stems are Chosen to... | Get the desired number of groups. | 112 | |
| 7354930223 | Stems | More than one leading digit. Support the leaves. | 113 | |
| 7354945652 | The Next Digits or Digit After the Stem becomes... | The leaf. | 114 | |
| 7354949552 | Truncate | Leave off or delete. To shorten by cutting off. This is not rounding. |  | 115 |
| 7354956698 | 4.75 to 4.7 | Truncated to one digit. | 116 | |
| 7354964905 | Shape | A two-dimensional line with no form or thickness. Geometric and organic are two types. |  | 117 |
| 7354970390 | Gaps | When there is clear separation of data. Small breaks between things. | 118 | |
| 7354984466 | Include Units in... | Key. | 119 | |
| 7354993392 | Stem-and-Leaf | Shows groups of data arranged by place value (Numerical Data). | | 120 |
| 7355000598 | Split-Stem Plots | Stems are listed multiple times to represent a range values. This method can be used with conjunction and truncation. |  | 121 |
| 7355013367 | 1 and 1 could also... | Be listed as 1L and 1H. | 122 | |
| 7355020115 | Comparative Stem and Leaf Diagram | Values for two categories are listed on opposite sides of the stem. The characters must all have the same width. |  | 123 |
| 7355060217 | When Asked to Compare Different Plots it is Not Acceptable to... | Simply list the values for each plot. | 124 | |
| 7355065786 | When Asked to Compare Different Plots... | Use comparative language. | 125 | |
| 7355070634 | Comparative Language | Wider, more, higher, etc. Comments on center, shape, spread, and outlier or outliers. | 126 | |
| 7355085672 | Skewed to the Left | Mean < Median < Mode | | 127 |
| 7355088406 | Unimodal | One peak in a distribution curve. A histogram with one peak (Mode). |  | 128 |
| 7355094384 | Skewed to the Right | Mean > Median > Mode | | 129 |
| 7355113245 | Frequency Distribution | An arrangement of data that indicates how often a particular score or observation occurs. A summary chart, showing how frequently each of the various scores in a set of data occurs. |  | 130 |
| 7355530875 | Segmented Bar Graph | Used to compare the distribution of a categorical variable in each of several groups. Distribution of each category within each variable. |  | 131 |
| 7355541172 | Create and Interpret Graphs for Categorical Data | Bar graphs, segmented bar graphs, and pie or circle charts. | 132 | |
| 7355559639 | Create and Interpret Graphs for Numerical Data | Stemplots and histograms. | 133 | |
| 7355567695 | Create and Interpret Graphs of Bivariate Numerical Data | Scatterplots and time series plots. | 134 | |
| 7355587595 | Displaying Categorical Data | Pie charts, segmented bar charts, and comparative bar charts. |  | 135 |
| 7355757001 | Numeric Data | Dot plots. Any number that can be used in a mathematical calculation. |  | 136 |
| 7422097384 | Typhoons | Tropical storms in the Pacific Ocean with sustained winds that exceed 74 miles per hour. A violent tropical storm that forms in the Pacific Ocean, usually in late summer. |  | 137 |
| 7422117820 | A Moving Average for Data Collected at Regular Time Increments | The average of data values for two or more consecutive increments. | 138 | |
| 7422172650 | Context | Words, events, or circumstances that help determine meaning. The circumstances, atmosphere, attitudes, and events surrounding a text. |  | 139 |
| 7422191250 | Compare | Find likenesses. A type of thinking. To examine the similarities and/or differences. |  | 140 |
| 7422209519 | Dot Plots | Allows one to easily compare distributions. A graph where dots that represent the value of data are plotted above a number line. | | 141 |
| 7422240523 | Display Bivariate Numerical Data | Scatter plots and analysis and time-series plots and analysis. | 142 | |
| 7422250065 | Scatterplot | (x,y) Coordinate graph. | 143 | |
| 7422256783 | Time-Series Plot | When one of the numeric variables is a measure of time. |  | 144 |
| 7422272964 | Points on a Scatterplot should Never be... | Connected | 145 | |
| 7422280839 | Points on a Time-Series Plot can be... | Connected | | 146 |
| 7422286122 | Scatterplot Analysis | Pattern, strength, direction, and interesting or strange points. |  | 147 |
| 7422298220 | Pattern | Linear, curved, exponential, and cyclical. The geometric or regular arrangement of something in a study area. |  | 148 |
| 7422303925 | Strength | Points are clustered or spread out. Intensity | 149 | |
| 7422313267 | Points are Clustered or Spread Out | Strong, moderate, or weak. | 150 | |
| 7422320004 | Direction | Upward or downward. A course along which someone or something moves. | 151 | |
| 7422328776 | Upward | Positive association. In a higher direction. | 152 | |
| 7422333231 | Downward | Negative association. Going down. | 153 | |
| 7422341186 | Interesting or Strange Points | Be prepared to interpret these points in the context of the scatter plot. | 154 | |
| 7422348985 | Time-Series Analysis | Patterns in historical data yield information for use in analyzing trends. | 155 | |
| 7422357888 | Perfect Positive Correlation | One variable increases, other also increases. |  | 156 |
| 7422563024 | Relative Frequency Bar Chart | Replace the counts with percentages. A bar chart in terms of percentages that displays relative proportions of each category. |  | 157 |
| 7422694372 | Stem Plot | Similar to a histogram, but the individual values are mentioned. A data display that shows groups of data arranged by place value. | | 158 |
| 7422703177 | Comparative | Back-to-back | 159 | |
| 7422712962 | Display Numerical Data | Frequency distributions and histograms. | | 160 |
| 7784824734 | Regression Line | Line of best fit. Best fitting line that minimizes the differences between scores. | 161 | |
| 7784834940 | Slope | The steepness of a line on a graph. Rise over run. |  | 162 |
| 7784837975 | y-Intercept | The y-coordinate of a point where a graph crosses the y-axis. Where the line crosses the y axis. |  | 163 |
| 7784865468 | Scatterplots | A graphed cluster of dots which represents the values of two variables. Quantitative |  | 164 |
| 7784874840 | Correlation Coefficient | A statistical index of the relationship between two things (from -1 to +1). | 165 | |
| 7784880101 | Residuals | The difference between an observed y-value and its predicted y-value on a regression line. Distance between observed values of y and predicted values of y. | 166 | |
| 7784892563 | Nonlinear | If data does not form a straight line when graphed. Motion along a curved path. |  | 167 |
| 7784904170 | Correlation | A mutual relationship or connection between two or more things. A measure of the relationship between two variables. |  | 168 |
| 7784911880 | Strong Positive Correlation | r ≥ +0.70 |  | 169 |
| 7784915588 | Predictor | Independent variable. Something that tells what is likely to happen in the future. | 170 | |
| 7784925956 | Constant | A value that does not change. A term without a variable. | 171 | |
| 7784932895 | Coef. | Coefficient | 172 | |
| 7784937113 | StDev | Standard Deviation and sq. rt. of the variance. |  | 173 |
| 7784947804 | R-Sq | R-value Squared. | 174 | |
| 7784959573 | Least Squares Regression Line | The line that makes the sum of the squared residuals as small as possible. Of y on x. |  | 175 |
| 7784978092 | Residual Plot | A scatterplot of the regression residuals against the explanatory variable. |  | 176 |
| 7784983234 | Fitted Values | Predicted scores. |  | 177 |
| 7784988376 | Outlier | A value much greater or much less than the others in a data set. A data value that is either much greater or much less than the median. | | 178 |
| 7785000984 | Influential Point | An outlier that, if removing it, drastically changes the correlation. When a point is omitted from data and makes the regression model very different. | 179 | |
| 7785005714 | Linearly Related | When the graphs of the relationships of variables are straight lines. |  | 180 |
| 7785025558 | Linearity | For all levels of the IV the population means of the DV all fall on a straight line. |  | 181 |
| 7785034199 | IV | Independent variable. | 182 | |
| 7785036807 | DV | Dependent variable. Variable whose value changes in response to another value. | 183 | |
| 7785044158 | Linear Regression | An algorithm to find a precise line of fit for a set of data. A line of best fit. |  | 184 |
| 7785055138 | Nonlinear Relationships and Transformations | Polynomial regression and transformations of data to perform a linear regression. | 185 | |
| 7785062762 | Polynomial Regression | Can be used to fit a curve. The type of regression would depend on an overall shape, but any equation would be of a certain form. |  | 186 |
| 7785080857 | Some Graphs have... | A definite polynomial curve associated with them. |  | 187 |
| 7785092948 | R^2 | Used as the coefficient of determination. It is the proportion of variation that can be explained by an appropriate relationship between x and y. | 188 | |
| 7785108498 | Approximate Relationships between x and y | Quadratic, cubic, etc. |  | 189 |
| 7785122030 | The Type of Regression would Depend on... | Overall shape. | 190 | |
| 7785125842 | Types of Regression | Quadratic, cubic, or higher power. Linear, multiple linear, nonlinear, or logistical. | 191 | |
| 7785133211 | Polynomial Regression Equation | y hat = a + (b subscript 1)x + (b subscript 2)(x^2) + (b subscript 3)(x^3) + ... + (b of k))(x^k) |  | 192 |
| 7785152019 | After Performing a Regression... | Always recheck the residual plot to look for patterns or irregularities. | 193 | |
| 7785175385 | Transformations for Linearity | Used to fit a curve that isn't linear or polynomial in nature by transforming the x values and/or y values so that a scatterplot of the transformed data has a linear appearance. Then, this allows a linear regression to be found and creates an equation using the reexpression and the linear regression. |  | 194 |
| 7785189271 | Transforming the x Values and/or y Values | Also called reexpression. |  | 195 |
| 7785210518 | x's and y's can be Reexpressed by... | Taking their square root, taking the log or ln, taking the reciprocal, or take them to a power. |  | 196 |
| 7785224750 | Standard Error | The standard deviation of a sampling distribution. The standard deviation of a point estimator. |  | 197 |
| 7785243410 | s | Typical error. | 198 | |
| 7785268085 | Summarizing Bivariate Data | Pearson correlation coefficient quantification and the sum of z of x times z of y. | 199 | |
| 7785278016 | Pearson Correlation Coefficient | Will quantify the linear relationship between two quantitative variables. Measure of association used with continuous variables. |  | 200 |
| 7785284792 | Strong Negative Relationship | r close to -1. Correlation coefficient is close to -1. |  | 201 |
| 7785296280 | SSTo | Sum of Squares Total. SSR+SSE |  | 202 |
| 7785328975 | SSResid | Total sum of residuals squared sum of y-predicted squared. Sum of all the squared residual values. |  | 203 |
| 7785338459 | SSTo and SSResid | Generally found as part of the standard and output from most statistical packages or can be obtained using the following computational formulas. | 204 | |
| 7785347668 | Coefficient of Determination | Denoted by r^2, gives the proportion of variation in y that can be attributed to an approximate linear relationship between x and y. The fraction of the variation in the values of y that is explained by the lsrl of y on x. |  | 205 |
| 7785364882 | lsrl | Least squares regression line. Line in a scatter plot. |  | 206 |
| 7785371722 | 1 - (r^2) | An important value. It represents the proportion of variation in y that cannot be attributed to variation in x, it is the proportion of variation due to some other factor or factors. This is important in the interpretation of the regression. | 207 | |
| 7785392061 | The Proportion of Variation Due to Some Other Factors | Thought of as lurking variables. | 208 | |
| 7785404610 | r^2 | 1 - (SSResid / SSTo) Percentage of the variation in y can be explained by x. | 209 | |
| 7785416656 | n | Number and sample size. Sometimes can be population size. | 210 | |
| 8549472608 | Data Analysis | A process of describing data using graphs and numerical summaries. The process arranging data to show trends or give meaningful insight. |  | 211 |
| 8549482658 | Statistical Studies | Observation and experimentation. |  | 212 |
| 8549490182 | Sampling | Process by which participants are selected. The process of selecting representative units from a total population. |  | 213 |
| 8549495822 | Experimental Design | The plan for a controlled experiment. Methodology by which an experiment will seek to support the hypothesis. |  | 214 |
| 8549503093 | Observational Studies | Designing surveys or systematically assessing and coding observable behavior. Participants can live out their normal lives and report these activities to researchers. | 215 | |
| 8549508929 | Designing Surveys | Optional | 216 | |
| 8549519091 | Displaying Numerical Data | Stem-and-Leaf displays, frequency distributions, and histograms. | | 217 |
| 8549538317 | Probability | A number that describes how likely it is that an event will occur. The likelihood that a particular event will occur. |  | 218 |
| 8549552010 | Basic Properties of Probability | If E and F are disjoint P(E U F) = P(E) + P(F). |  | 219 |
| 8549560309 | Conditional Probability | The probability that an event will occur given that one or more other events have occurred. The probability of an event (A), given that another (B) has already occurred. |  | 220 |
| 8549562742 | Random Variables | Numerical outcome of a random phenomenon. Variables whose values are determined by chance. |  | 221 |
| 8549572138 | Probability Distributions | Listings of possible outcomes or events with a probability assigned to each outcome. A way of matching outcomes with their probabilities of success. |  | 222 |
| 8549576483 | Normal Distributions | Type of continuous probability distribution. Bell curve shape dependent upon mean and standard deviation; deviations follow the Empirical Rule. | | 223 |
| 8549590538 | Sampling Variability | The natural tendency of randomly drawn samples to differ, one from another. The value of a statistics vary in repeated random sampling. | 224 | |
| 8549598089 | Sampling Distributions | Distributions of sample statistics such as means and proportions. The pattern of values of the sample statistic in many samples from the same population. |  | 225 |
