Busy. Please wait.

show password
Forgot Password?

Don't have an account?  Sign up 

Username is available taken
show password


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.
We do not share your email address with others. It is only used to allow you to reset your password. For details read our Privacy Policy and Terms of Service.

Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
Don't know
remaining cards
To flip the current card, click it or press the Spacebar key.  To move the current card to one of the three colored boxes, click on the box.  You may also press the UP ARROW key to move the card to the "Know" box, the DOWN ARROW key to move the card to the "Don't know" box, or the RIGHT ARROW key to move the card to the Remaining box.  You may also click on the card displayed in any of the three boxes to bring that card back to the center.

Pass complete!

"Know" box contains:
Time elapsed:
restart all cards
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

camelia ch.1


Statistics is the mathematics of the collection,organization, and interpretation of numerical data.
Data is defined as information, especially infomation organized for analysis or used as th basis for a decision; numerical information.
Data Processing (also called data bank) is a collection of data often arranged for ease and speed of retrieval.
Data Processing the preparation of information for processing by computers
Population refers to an entire group
Sample is a subset or small part of a population
Constant is something that assumes only one value; it is a value that is replaceable by one and only one number; a fixed value.
Variable is something that can change, in contrast to a constant, which remains the same.
Qualitative Variables qualitative variables yield obsevation that can be categorized according to some characteristic or quality. Examples include a person's occupation, marital status, education level, race etc.
Quanitative Variables quantiative variables yield observation that can be measured. Examples of this type are height, weight, blood pressure, serum cholesterol, heart rate etc.
Nominal Data the term nominal pertains to "name"; nomianl data are unordered data. Whatever distinguishing symbols are used to define a group or an individual is nominal data. Symbols are often numbers, although they can be words, designs, or pictures.
Ordinal Data ordinal refers to "order" or "rank". an ordinal number represents a specified (or ordered) position in a numbered series, such as or ordinal rank of seven. If if is stated that cancer is the the third-leading cause of death in the United States,
Ranked Data ordinal data in which the results are ranked either from high to low or low to high are referred to as ranked data. IQ scores or test scores are easily ranked in this manner
Discrete Data Discrete data are always expressed as a whole number or integer. Discrete data are most commonly obtained by counting e.g., the number of teeth in the mouth, the number or keratoses on the skin. the number of shares traded on the New York Stock Exchange.
Continuous Data Continuous variables are those that fall into the category of "measured to the nearest". The underlying scale by which measurement can be subdivided could go o=on indefinitely, but most data are only subdivided to a designated degree
Ungrouped Data ungrouped data are a listing of all scores as they are obtained. Ungrouped data also refer to a distribution in which scores are ranked from highest to lowest, or lowest to highest, but each score has its own place of array.
Grouped Data Grouped Data involve some type of grouping or combining of scores. The most common means of grouping is the counting or tallying of like scores. In this method, all identical scores are tallied and the number recorded after the score.
Descriptive Statistics descriptiv statistics describe and analyze a given group without drawing any conclusions or inferences about a larger group. Once data have been assembled and tabulated according to some useful categories, the then need to be summarized to determine the g
Created by: cameliac