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Math 1530
chapter 1.1-1.3
| Question | Answer |
|---|---|
| Statistics | The science of planning studies and experiments, obtaining data, organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data. |
| Data | Collections of observations. Examples: measurements, genders, survey responses |
| Population | The complete collection of all individuals to be studied |
| Census | Collection of data from every member of a population |
| Sample | Subcollection of members selected from a population |
| Voluntary Response Sample | A sample for which the respondents themselves decide whether to be included. |
| Context | Description of what the values represent. |
| Source | The researchers geting all the data. |
| Sampling Method | The samples that you choose to use to collect sample data. Example: Voluntary response sample |
| Conclusions | Making statements that are clear to those without any understanding of statistics and its terminology. |
| Pratical Implications | A practical conclusion. A statement that could be true. |
| Statistical Significance | a statistical assessment of whether observations show a pattern rather than being just a chance. |
| Practical Significance | a limit where an observed difference is of some practical use in the real world |
| Parameter Vs. Statistic | Parameter: numerical measurement describing some characteristic of a population. Statistic: numerical measuremetn describing some characteristic of a sample. |
| Quantitative Vs. Categorical | Quantitative data: consiste of numbers representing counts or measurements. Categorical data: consists of names or labels that are not numbers representing counts or measurements. |
| Discrete Vs. Continuous | Discrete data result when the number of possible valuse is either a finite number or a "countable" number. Continuous data result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, |
| Levels of Measurements | Ratio, interval, Nominal, Ordinal |
| Nominal | Categories only. Data cannot be arranged in an ordering scheme. |
| Ordinal | Categories are ordered, but differences can't be found or are meaningless. |
| interval | Differences are meaningful, but there is no natural zero starting point and ratios are meaningless |
| Ratio | Theres is a natural zero starting point and ratios are meaningful. |
Created by:
crickie11
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