1. Control variable: Any other variable that may affect the outcome. If at all possible, these need to be kept constant during the experiment. If they cannot be kept constant then their values need to be monitored or recorded so that their influence can be assessed.
2. Dependent variable: An outcome variable that is measured each time the independent variable is changed.
3. the intrinsic nature of the variables, i.e. continuous, discrete, or categorical variables. Independent, dependent and control variables
4. When planning an investigation, it’s useful to identify the variables that it’s consider significant and then select the ones that want to look at for ‘cause and effect.
5. Independent variable: The variable that is deliberately changed by the experimenter.
6. María José Jiménez (A01700936) and Mariel Cuéllar (A01701212)
7. the difference between independent, dependent and control
8. Examples
8.1. Make a cake - discrete
8.2. Temperature - control variable
8.3. Twister - Variable
8.4. earthquake - Dependent and indepedent
8.5. Huracan- quantitative
9. Quantitative variables are numerical. They represent a measurable quantity.
9.1. Discrete variables:Discrete because there can only be a certain number of somethin
9.2. Quantitative Variables can be classified as categorical.
10. Institute of Physics. (2018). Variables. January 23rd, 2018., de Institute of Physics Sitio web: Variables tat Trek. (2018). Quantitative variables. January 23rd, 2018, de Stat Trek Sitio web: http://stattrek.com/statistics/dictionary.aspx?definition=quantitative%20variable Statistics. (2018). Discrete variables. January 23rd, 2018, de Statistics Sitio web: http://www.statisticshowto.com/discrete-variable/
11. discrete variable is a variable that can only take on a certain number of values. In other words, they don’t have an infinite number of values. If you can count a set of items, then it’s a discrete variable.
