Answer:
1. Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.
2. Discrete data is information that can only take certain values. This type of data is often represented using tally charts, bar charts or pie charts.
3. Subjective data are information from the client's point of view (“symptoms”), including feelings, perceptions, and concerns obtained through interviews.
4. Existing records refer to data acquired from secondary sources rather than from original data collection efforts.
5. Objective data are observable and measurable data (“signs”) obtained through observation, physical examination, and laboratory and diagnostic testing.
6. Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it.
7. Qualitative data describes qualities or characteristics. It is collected using questionnaires, interviews, or observation, and frequently appears in narrative form.
8. A variable contains data about anything we measure. For example; age or gender of the participants or their score on a test. Variables can contain two different types of data; categorical data and continuous data.
9. Secondary data is the data that has already been collected through primary sources and made readily available for researchers to use for their own research.
10. Primary data is the type of data that is collected by researchers directly from main sources.
11. Stratified random sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata.
12. A discrete variable is a variable whose value is obtained by counting.
13. Continuous Variables would (literally) take forever to count. In fact, you would get to “forever” and never finish counting them. A continuous variable is a variable whose value is obtained by measuring, ie one which can take on an uncountable set of values.
14. Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.
15. Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
