Independent And Dependent Variables Trivia

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| By Ryan Feltner
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Ryan Feltner
Community Contributor
Quizzes Created: 2 | Total Attempts: 122,519
Questions: 10 | Viewed: 114,426

1.

In an experiment, what is the measurable variable, also known as the dependent variable (DV)?

Answer: The variable measured in the experiment, dependent on changes to the independent variable (IV).
Explanation:
The measurable variable, or dependent variable (DV), is the one that is measured in an experiment. It depends on changes made to the independent variable (IV). The experiment aims to study the effects on the DV resulting from variations in the IV, making option C the correct answer.
2.

If I add more milk, the tea will get a lighter color. The two variables: 1. Amount of milk 2. Color of the tea Which one is the independent variable?

Explanation:
The independent variable in this scenario is the amount of milk. This is because the amount of milk is being manipulated or changed by the person making the tea. The color of the tea, on the other hand, is the dependent variable as it is influenced by the amount of milk added. As more milk is added, the tea gets a lighter color.
3.

I will feel lazy if I eat too much. The 2 variables: 1. Amount of food eaten. 2. Level of laziness Which one is the dependent variable?

Explanation:
The dependent variable in this scenario is the level of laziness. This means that the level of laziness is influenced or determined by the amount of food eaten. In other words, the amount of food eaten is causing or affecting the level of laziness.
4.

I will lose extra fat If I run extra hours. The 2 variables: 1. Amount of fat lost 2. Hours of running Which is the dependent variable?

Explanation:
The dependent variable in this scenario is the amount of fat lost. This means that the amount of fat lost is influenced by the hours of running. The more hours of running, the more fat is likely to be lost. Therefore, the amount of fat lost is dependent on the hours of running, making it the dependent variable in this case.
5.

It will get colder if winds blow faster. The 2 variables: 1. Wind's speed 2. Amount of cold Which is the dependent variable?

Explanation:
The dependent variable is the one that depends on or is affected by changes in the other variable. In this case, the amount of cold (i.e., how cold it gets) depends on the wind's speed. Therefore, the amount of cold is the dependent variable in this statement. As the wind's speed changes, it influences how cold it becomes.
6.

The deeper I cut, the more it will bleed. The 2 variables: 1. Depth of cut 2. Level of bleeding Which is the independent variable?

Explanation:
The independent variable in this scenario is the depth of cut. This means that the level of bleeding is dependent on the depth of the cut. As the depth of the cut increases, the level of bleeding also increases. The depth of the cut is the factor that is being manipulated or changed in order to observe the effect it has on the level of bleeding.
7.

Does working extra hours in the office get you more recognition? The 2 variables 1. Number of hours 2. Level of recognition Which is the dependent variable?

Explanation:
The dependent variable in this scenario is the level of recognition. This means that the level of recognition is influenced or affected by the number of hours worked in the office. The more hours a person works, the higher their level of recognition may be.
8.

I need to pay a fine because I crossed the red light. The 2 variables: 1. Paying fine 2. Crossing red light Which is the independent variable?

Explanation:
The independent variable in this scenario is "Crossing red light". This is because it is the factor that is being manipulated or changed by the individual's actions. The act of crossing the red light is what leads to the need to pay a fine. The variable "Paying fine" is the dependent variable, as it is the outcome or result of crossing the red light.
9.

Add extra sugar to make it sweeter. What is the dependent variable?

Explanation:
In this scenario, the dependent variable is the "level of sweetness," which is the variable being measured or observed in response to changes in the independent variable. The "amount of sugar" added is the independent variable because it's the factor that's manipulated or varied to observe its effect on the dependent variable. By adding more sugar, the expected outcome is an increase in sweetness, making it dependent on the amount of sugar. Understanding the relationship between these variables is crucial for experiments and analyses to assess cause-and-effect connections in various contexts, including food science and cooking.
10.

In a study examining the effect of sunlight on plant growth, where plants are grown in different conditions of light exposure, how are the variables classified?

Answer: Sunlight is the independent variable, and plant growth is the dependent variable.
Explanation:
In this experimental setup, sunlight is the independent variable because it is the condition that is being manipulated by the researcher to observe its effect. Different plants are exposed to varying amounts of sunlight to test how this factor influences their growth. Plant growth, measured in terms of height, number of leaves, or overall health, serves as the dependent variable. It depends on the amount of sunlight received, meaning its variations are studied as a response to changes in the independent variable. This setup is typical in experiments aiming to establish a cause-and-effect relationship, where the independent variable's impact on the dependent variable is the focus of the study.

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