results
Definition
Results are the outcomes of an experiment or investigation. They are the answers to the questions that were asked.
Results can be quantitative, meaning they are expressed in numbers. For example, the results of an experiment to determine the melting point of ice would be the temperature at which ice melts.
Results can also be qualitative, meaning they are expressed in words or descriptions. For example, the results of an experiment to determine the colour of a solution might be "blue" or "greenish-blue."
Results are important because they help scientists to understand the world around them. They can also be used to make predictions or to design new experiments.
It is important to record results carefully so that they can be understood and interpreted by others. Results should be presented in a clear and concise way, and they should be supported by evidence.
How can the word be used?
The results of the experiment were inconclusive.
Different forms of the word
Noun:
- the outcome of something.
- a consequence or effect of something.
Verb:
- to produce a particular outcome or effect.
Etymology
The word "results" comes from the Old French word "resulter", which means "to spring from".
The first recorded use of the word "results" in English was in the 14th century.
Question
What can you learn from results?
AQA Science Exam Question and Answer
Question:
Explain the significance of presenting and interpreting results in scientific experiments. Describe how graphical representations, such as bar graphs or line graphs, enhance the understanding of experimental data.
Answer:
Presenting and interpreting results is a critical aspect of scientific experiments as it enables researchers to communicate their findings effectively and draw meaningful conclusions. The data collected during experiments is often complex and needs to be organised in a clear and concise manner to facilitate understanding.
Graphical representations, such as bar graphs and line graphs, are powerful tools for conveying information visually. Bar graphs are useful for comparing discrete sets of data, displaying quantities or frequencies of different categories. Line graphs, on the other hand, are effective for showing trends and changes in continuous variables over time or other independent variables.
These graphs enhance the understanding of experimental data by providing a visual representation that allows patterns, trends, and relationships to be easily identified. By examining the slope, peaks, or troughs of a graph, researchers can draw conclusions about the relationships between variables. For instance, a line graph showing the growth of plants over time can help deduce their growth rates and compare different treatments.