click below
click below
Normal Size Small Size show me how
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. |