Statistics Word Scramble
|
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
Term | Meaning |
Parameter | Measured characteristic of a population |
Statistic | Measured characteristic of a sample |
Statistics | Collection of methods for planning experiments, obtaining data, organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on data |
Population | Complete and entire collection of elements to be studied |
Census | Collection of data from every element in a population |
Sample | Subset of a population |
Discrete data | Data with the property that the number of possible values is either a finite number or a |
Continuous data | Data resulting from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions or jumps |
Ordinal | Level of measurement of data; characterizes data that may be arranged in order, but differences between data values either cannot be determined or are meningless |
Interval | Level of measurement of data; characterizes data that can be arranged in order and for which diffeences between data values are meaningful |
Self-selected sample | Sample in which the respondents themselves decide whether to be included; also called voluntary response sample |
Observational Study | Study in which we observe and measure specific characteristics, but don't attempt to manipulate or modify the subjects being studied |
Experiment | Application of treatment followed by observation of its effects on the subjects |
Confounding | A situation that occurs when the effects from two or more variables cannot be distinuished from each other |
Random Sample | Sample selected in a way that allows every member of the population to have the same chance of being chosen |
Simple Random Sample | Sample of a particular size selected so that every possible sample of the same size has the same chance of being chosen |
Systematic Sampling | Sampling in which every kth ( such as every 50th) element is selected |
Convenience Sampling | Sampling in which dataa are selected because they are readily available |
Stratified Sampling | Sampling in which samples are drawn from each stratum (class) |
Cluster Sampling | Dividing the population area into sections (or clusters), then randomly selecting a few of those sections, and then choosing all the members from those selected sections |
Sampling Error | Difference between a sample result and the true population result; results from chance sample fluctuations |
Nonsampling Errors | Errors from external factors not related to sampling |
Data | Observations (such as measurements, genders, survey responses) that have been collected |
Statistics | A collection of methods for planning experiments, obtaining data and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data. |
Statistics | (blank) |
Population | The complete collection of all elements (scores, people, measurements, and so on) to be studied. it includes all subjects to be studied. |
Census | The collection of data from every member of the population |
Sample | A subcollection of members selected from a population |
Created by:
SheriDee
Popular Math sets