False
Ineqality
highly variable is an adjective which describes something specific; therefore, it is not definable.
If you want to test your hypothesis with a controlled experiment, you should make sure you have only one variable.
describes how to measure a variable or define a term. right out of my science book
Something that changes during an experiment. A variable is something that is bound to change and not constant In a mathematical statement a variable is something which can take on different values; it is usually represented by a letter, though a word could be used. Examples include: x + 5 (x is a variable) area_rectangle = lw = length × width (l, w, length and width are all variables), area_circle = πr² = π × radius² (r and radius are both variables) Variable means that something is liable to change, is not constant. For instance, weather is very variable in Britain. Our weather can change hourly, with rain, sun, etc.
operational definition
operational definition
operational definition
operational definition
One gram of wood stores 16,000 J.
Operational definition
A statement that describes how a particular variable is to be measured or how a term is to be defined is known as an operational definition. This definition specifies the procedures or criteria used to quantify or categorize the variable, ensuring clarity and consistency in research. For example, if measuring "anxiety," one might operationally define it as the score on a standardized anxiety questionnaire. This approach allows researchers to communicate their findings effectively and replicate studies.
operational definition
A prediction that states both an independent and a dependent variable is called a hypothesis. A hypothesis is stated as such: if "independent statement", then "dependent statement."
To measure a variable, you need to first define what you are trying to measure and then select an appropriate method or instrument to quantify it. This could involve using tools such as surveys, scales, observations, or sensors depending on the nature of the variable. Ensure that the measurement process is reliable, valid, and consistent to obtain accurate results.
For a chi-square test there is a null hypothesis which describes some distribution for the variable that is being tested. The expected frequency for a particular cell is the number of observations that would be expected in that cell if the null hypothesis were true.
A hypothesis should be a clear, testable statement that predicts the relationship between two or more variables. It typically follows the format of an “If...then...” statement, where the "if" part describes the condition or independent variable, and the "then" part outlines the expected outcome or dependent variable. For example, "If increasing study time improves test scores, then students who study longer will achieve higher scores." This structure helps ensure that the hypothesis can be empirically tested through experimentation or observation.