examples of variable cost in a soda bottling plant.
that is the most impossible question to answer i have a note book full of tally marks standing for how many times i have been asked that question they have asked me 847 times in the last 6 years
The control variable in this experiment would be the plants that do not receive any fertilizer. By comparing the growth of plants with fertilizer to those without, researchers can determine the effect of adding fertilizer on plant growth.
Removing leaves from a plant can affect its ability to photosynthesize and produce food, ultimately weakening the plant. The plant may also struggle to absorb water and nutrients properly, impacting its overall health and growth.
If the 🌱 🍁 began to wilt then the root of a plant would probably be damaged.
Manipulated variable is also known as Independent variable and is the factor that you change in an experiment. For example if you were measuring the effects of alcohol on driving ability the manipulated variable would be alcohol, either with or without alcohol.
A bottling plant is where large quantities of a product are bottled into individual servings. The best example would be beer or soda pop. For example in bottling soft drinks, the syrup is added to water and then carbonated and then put into individual bottles.
There are multiple advantages to using a conveyor system in a bottling plant. The most striking is the increased efficiency that a system would bring to the plant. Others include greater ability to track products with increased management in place.
Dependent variable would be : too many jellyfish. Independent variable would be tentacles probably.
lidle bottling company,moira brown
That would be a discrete variable; or, in your case, it would probably be called a discrete random variable.
Increasing the amount of fertilizer can lead to increased plant growth due to the availability of nutrients. The independent variable in this scenario would be the amount of fertilizer applied to the plant.
'Variables' are any factors that can be controlled, changed or measured. There are two types: the independent variable and the dependent variable. The independent variable is the condition that you change and the dependent variable is what you are observing. So if you are trying to measure the effect of water on plant growth the water would be the independent variable and the plant growth would be the dependent variable.
The answer to your question depends on the experiment you are doing, but time would probably be the independent variable (and the amount of mold would be the dependent variable).
There are two types of variables. The first one is called the experimental variable. It is what you are compare everything to or the normal thing. For instance, what plant grows better the one with sunlight or the one without. The one with sunlight would be the experimental variable. The second type of variable is the dependent variable, which is the data you are collecting. Relating back to the plant experiment, how well the plant grows would be the dependent variable.
An independent variable is the variable of the experiment that the dependent variable depends on. For example, in an experiment testing the effects of soil quality on a plant's growth, the dependent variable would be the plant's growth and the independent variable would be the quality of the soil.
In an experiment, the independent variable is the variable that is manipulated, for example plant fertilizer. The dependent variable is what is observed and measured as a result of the independent variable, for example plant height. Controlled variables are factors that are kept constant for the entire experiment, such as temperature and moisture, so that the observed results are due only to the independent variable. So in an experiment measuring the effect of fertilizer on plant growth, the independent variable would be the fertilizer, the independent variable would be the height measured at specific intervals, and the controlled variable of temperature and moisture would be kept the same for both groups.
The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.