Alexander Fleming's experiment in 1928 led to the discovery of penicillin, the first antibiotic, by observing that a type of mold killed bacteria in a petri dish. This discovery revolutionized medicine by providing an effective treatment for bacterial infections. Fleming's work paved the way for the development of many other antibiotics.
In order for an experiment to yield useful data, it is necessary to have a carefully designed experimental setup that controls for variables, a clear research question or hypothesis to guide the experiment, and a sufficient sample size to ensure statistical significance. Additionally, the experiment should be replicable by other researchers to verify the results.
If the negative control is not as expected, it could indicate issues such as contamination or a problem with the experimental setup. It may lead to questioning the reliability of the results from the experiment as it suggests potential errors or interference that could impact the interpretation of the data. Conducting further troubleshooting and repeating the experiment with proper controls is essential to ensure the accuracy and validity of the results.
Scientists use data to create charts, graphs, and tables to visually represent their findings. These visualizations help simplify complex data and make it easier for others to understand the results of an experiment. It also allows for comparisons and patterns to be easily identified.
The intra-assay coefficient of variation for this experiment is a measure of the variability within the same assay or test, indicating how consistent the results are.
Retesting an experiment can help verify the results and ensure they are consistent and reliable. It also allows for any errors or inconsistencies to be identified and corrected. By repeating the experiment, you can increase the validity and confidence in the findings.
To determine whether Fleming's hypothesis should be supported or rejected based on an experiment, one would need to analyze the results of the experiment in relation to the hypothesis. If the data from the experiment aligns with the predictions made by Fleming's hypothesis, then it should be supported. However, if the results contradict the hypothesis, it may need to be rejected or revised.
Scientists do their test more than once, or get their colleagues and peers to do the same experiment in order to verify the results of their experiment. This is called reproducing an experiment and its results.
An experiment in which the results are repeatable....apex
The results of an experiment are called your data.
He recorded the results of his experiment by documenting observations, measurements, and data collected during the experiment. These results were typically recorded in a lab notebook or electronic record. The results were then analyzed and interpreted to draw conclusions and determine the significance of the experiment.
The outcome of an experiment is a "conclusion", the interpretation of the results compared with the expected results and the goal of the experiment.
The results of a scientific experiment are typically referred to as data or findings. These results provide the information needed to analyze the experiment's outcome and draw conclusions.
The results of a science experiment do not have to match the original hypothesis. Indeed, the results collected in an experiment may be completely different to those that the scientist predicted.
Observations and measurements made during an experiment are called the data.
Analyze the experiment to decide whether the results were flawed.
variable
The results of a previous experiment are presented as an introduction to a new experiment.