Terms : Hide Images
| 6962356641 | Categorical Variable | Places an individual into one of several groups or categories. (ex. blood type, eye color, gender ) | 0 | |
| 6962356642 | Quantitative Variable | Takes numerical values for which it makes sense to find an average. (ex. age, temperature) | 1 | |
| 6962356643 | Discrete Variable | A variable that CANNOT take on any value between its minimum and maximum value. | 2 | |
| 6962356644 | Continuous | Variables that CAN take on any value between its minimum and maximum value. | 3 | |
| 6962356645 | Univariate Data | Data, from a study, that depicts a singe variable. (ex. weight of fruit) |  | 4 |
| 6962356646 | Bivariate Data | Data, from a study, that depicts two variables. ( ex. price and size, height and weight) |  | 5 |
| 6962356647 | Population | The total set of observations that can be made. (ex. height of ALL ten year olds) | 6 | |
| 6962356648 | Sample | A set of observations drawn from a population (ex. height of a SELECT group of ten year olds) |  | 7 |
| 6962356649 | Median | A simple measure of central tendency / midpoint of a distribution. ( Arrange n observations from least to greatest. If n is odd, median is the middle value. If n is even, median is the average of the two middle values.) |  | 8 |
| 6962356650 | Mean | Average - Sum of individuals divided by the number of individuals. Formula: x = ( Σ xi ) / n |  | 9 |
| 6962356651 | Outlier | A data point that diverges greatly from the overall pattern. |  | 10 |
| 6962356652 | Parameter | A measurable characteristic of a population. (ex. mean, standard deviation) | 11 | |
| 6962356653 | Statistics | Discipline allowing researchers to evaluate conclusions derived from sample data. A scientific approach used to collect, interpret and analyze data, assess reliability of conclusions based on sample data. | 12 | |
| 6962356654 | Range | Measure of variation in a set of random variables; the difference between the largest and smallest variable. Formula: Max Value - Min Value |  | 13 |
| 6962356655 | Standard Score ( z-score) | Indication of how many standard deviations an element is from the mean. The value of the element ( X ) minus the population mean ( μ ) divided by the standard deviation ( σ ). Formula: Z = (X - μ) / σ |  | 14 |
| 6962356656 | Center | Located at the median distribution, a way to describe patterns. | 15 | |
| 6962356657 | Spread | Variability of the data, in relation to range; Wide Range, larger spread ; Cluster around single variable, smaller spread. | 16 | |
| 6962356658 | Variance | Numerical value used to indicate how widely individuals in a group vary. Formula: of population: σ^2 = Σ ( Xi - μ )^2 / N of simple random sample: s^2 = Σ ( xi - x )^2 / ( n - 1 ) |  | 17 |
| 6962356659 | Symmetry | Attribute used to describe shape of data distribution. |  | 18 |
| 6962356660 | Unimodel | Distributions with one clear peak |  | 19 |
| 6962356661 | Bimodel | A distribution with two distinct peaks |  | 20 |
| 6962356662 | Skewness | The distribution of data in a graphic representation having more observations on one side than the other. |  | 21 |
| 6962356663 | Uniform | (probability) Values that random variables can take are equally probable. Values graphically portrayed are equally spread across the range of the data set. |  | 22 |
| 6962356664 | Gaps | Areas in the data where there are no observations. | 23 | |
| 6962356665 | Dot Plots | Diagrams that represent the frequency of data |  | 24 |
| 6962356666 | Bar Chart | A graphical display used with categorical data, where frequencies for each category are shown in vertical or horizontal bars. The column/row is positioned over the categorical data. The height/length indicates size of group defined by the categorical variable. |  | 25 |
| 6962356667 | Histograms | A graph that displays the distribution of a quantitative variable. The horizontal axis is marked in units of measure, the vertical axis contains scale of counts or percents. It displays class and class frequency. |  | 26 |
| 6962356668 | Difference between Bar Charts and Histograms | Bar Charts are defined by categorical variable while Histograms are defined by a quantitative variable. | 27 | |
| 6962356669 | Stemplots | Used to display quantitative data, generally from small sets. (<50) |  | 28 |
| 6962356670 | Boxplots | Used to display patterns of one quantitative variable. The data is sectioned into quartiles. A box is drawn around the range of the middle two quartiles and whiskers are drawn to represent the range of the upper and lower quartiles. |  | 29 |
| 6962356671 | Quartiles | Divides rank ordered data set into four equal parts, Q1, Q2 and Q3. *Differs from precentiles. Q1 - P25, Q2 - P50, Q3 - P75. *Q2 = Median. |  | 30 |
| 6962356672 | Interquartile Range (IQR) | Measure of variability, based on dividing a set into quartiles. The range of the two inner quartiles. Formula: IQR = Q3 - Q1 |  | 31 |
| 6962356673 | Four Ways to Describe Data Sets | Skewness, Spread, Uni/Bimodel, Symmetry | 32 | |
| 6962356674 | Types of Graphs for Comparing Data | Dot Plots, Box Plots, Bar Charts, Histograms | 33 |
