Use of Graph In Analysis

An illustration of the relationship between two related values, the dependent and independent variables, can be represented by a graph.

In this definition, a dependent variable refers to any measurable variable whose value is dependent on the independent variable. The algebraic symbol y is frequently used to represent this concept.

A measurable variable that, when its value is changed, results in a change in the value of the dependent variable. y=function of xory=f is an algebraic symbol that is frequently used to represent this concept (x). A saturated solution is represented by the red arrow, and you will notice that increasing the water temperature will allow for even more table salt to dissolve in the solution. To put it another way, if you start with 26.1 g salt at 20.0 degrees Celsius dissolved in 100 grammes of water (which is the maximum amount of salt that can dissolve in 100 grammes of water), and then add another 2 grammes, the salt simply sinks to the bottom of the solution and the temperature does not change. When the temperature is raised, the solid at the bottom of the container begins to dissolve, and at around 70 degrees, all of the salt has been consumed. Consequently, the solubility is the dependent variable, and the value of the solubility is determined by the temperature, which is the independent variable. The temperature did not change when the dependent variable (solubility) was changed, as you noted above in the example (independent variable).

Solubility 

Solubility (g NaCl/100 g water) is a measure of how well a substance dissolves in water. Six measurements of solubility were taken at six different temperatures and plotted in this graph. Specifically, solubility is defined as the maximum amount of salt that can be dissolved in 100 grams of water, with any excess salt falling to the bottom of the container as a precipitate (salt solution) (solid).

Once the data has been analysed, a plot can be created in which the dependent variable (y) is plotted along the vertical axis (ordinary axis) and the independent variable (x) is plotted along the horizontal axis. where each point represents one of the data measurements, and the values are typically expressed in terms of (x,y). As a result, the third data point would contain the values (60.0, 37.0), which represent the temperature and solubility, respectively.

However, it should be noted that not all plots include both dependent and independent variables, and that in some cases, both variables are dependent on another entity that is not plotted. For example, when converting between Fahrenheit and Celsius, both scales are measuring the same intensive property, such as the temperature of an object or substance, and it is the temperature that is changing between the two scales. As an example, consider the plot of mass versus volume for a pure incompressible substance. These are both extensive properties that are dependent on the amount of substance being measured.

Functions are classified into several categories 

There are many different types of functions in science, and general chemistry makes extensive use of three of them: linear, power, and exponential functions.

1. The Power Function is defined as y=aXm( (which is linear in the logarithmic form)
2. Exponential Function (also known as logarithmic functions). 

F=9/5C + 32

Conclusion 

Therefore we can finally conclude that the plots of the three different types of functions that are commonly used in general chemistry. After the first semester of general chemistry, we will not use the power function or the exponential function until the second semester, when students will be required to use them extensively.