Question

A group of researchers is interested in studying the factors that influence juvenile delinquency. They create a survey for high school students in a local after-school program. The survey includes questions about age (in years), favorite sports, number of siblings, high school grade point average and the marital status of parents.

List the variables in the survey and the level of measurement for each variable.

Answer 1

solution :

Regular Types of Variables

Clear cut variable: factors than can be put into classes. For instance, the class "Toothpaste Brands" may contain the factors Colgate and Aquafresh.

Jumbling variable: additional factors that hiddenly affect your exploratory outcomes.

Consistent variable: a variable with interminable number of qualities, similar to "time" or "weight".

Control variable: a factor in a test which must be held steady. For instance, in a trial to decide if light influences plants to develop quicker, you would need to control for soil quality and water.

Subordinate variable: the result of a trial. As you change the autonomous variable, you watch the end result for the needy variable.

Discrete variable: a variable that can just interpretation of a specific number of qualities. For instance, "number of autos in a parking area" is discrete on the grounds that an auto stop can just hold such a significant number of autos.

Free factor: a variable that isn't influenced by anything that you, the scientist, does. Normally plotted on the x-hub.

Hiding variable: a "concealed" variable the influences the connection between the autonomous and ward factors.

An estimation variable has a number related with it. It's a "sum" of something, or a"number" of something.

Ostensible variable: another name for clear cut variable.

Ordinal variable: like an unmitigated variable, yet there is an unmistakable request. For instance, wage levels of low, center, and high could be viewed as ordinal.

Subjective variable: a general classification for any factor that can't be tallied (i.e. has no numerical esteem). Ostensible and ordinal factors fall under this umbrella term.

Quantitative variable: A general class that incorporates any factor that can be tallied, or has a numerical esteem related with it. Models of factors that fall into this class incorporate discrete factors and proportion factors.

Irregular factors are related with arbitrary procedures and offer numbers to results of arbitrary occasions.

A positioned variable is an ordinal variable; a variable where each datum point can be placed all together (first, second, third, and so on.).

Proportion factors: like interim factors, however has a significant zero.

clasiisfications of variables from above survey :

1.age in years = quantitative variable

2.favorite sport= cxategorical variable

3.number of siblings = discrete variable

4.high school; grade point average =measurement variable

5.martial status of parents= categorical variable