Table of Contents
- 1 Why might 2 scientists working on the same problem draw different conclusions?
- 2 What could scientist do to make sure their results were correct?
- 3 Why do scientists need to repeat experiments?
- 4 Why do scientists test things more than once?
- 5 How do scientists do research?
- 6 Why do scientists do experiments in different ways?
- 7 Why do scientists share results at national meetings?
Why might 2 scientists working on the same problem draw different conclusions?
Because referees are likely to display the same bias in different games, counting each referee multiple times can alter the result. So, after discussing their approach with other teams, some scientists changed their minds, and counted the information differently.
What could scientist do to make sure their results were correct?
Experimental evidence is used to confirm the answers in science. Results are validated (found truthful) when other scientists repeat experiments and come up with the same results. A history of evidence and validations show that the original statements were correct and accurate.
Why various researchers might obtain different results when studying the same problem?
Sample size, Study settings, methodological approaches, and population characteristics could be major factors responsible for differences in results from same study conducted by different researchers.
What are three different ways that scientists can represent their data?
There are a variety of ways that scientists communicate their results of scientific research and these include scientific journal publications, conference presentations and conference posters.
Why do scientists need to repeat experiments?
To repeat an experiment, under the same conditions, allows you to (a) estimate the variability of the results (how close to each other they are) and (b) to increase the accuracy of the estimate (assuming that no bias – systematic error – is present). These are the 2 reasons for the repetition of one experiment.
Why do scientists test things more than once?
When we do experiments it’s a good idea to do multiple trials, that is, do the same experiment lots of times. When we do multiple trials of the same experiment, we can make sure that our results are consistent and not altered by random events. Multiple trials can be done at one time.
How many factors does a scientist want to have different between the two groups being studied?
Ideally, only one variable is different between the control group and the experimental group in a scientific experiment. Otherwise, the researchers will not be able to determine which variable caused any differences seen in the results.
How do scientists find answers?
Scientists find answers using tests: When scientists want to answer a question, they search for evidence using experiments. An experiment is a test to see if their explanation is right or wrong. Evidence is made up of the observations a scientist makes during an experiment.
How do scientists do research?
When conducting research, scientists use the scientific method to collect measurable, empirical evidence in an experiment related to a hypothesis (often in the form of an if/then statement), the results aiming to support or contradict a theory.
Why do scientists do experiments in different ways?
In particular, researchers need to talk about creating standard ways to perform procedures. The idea is simple: If researchers follow the same procedures, the likelihood that they will be able to reproduce one another’s work increases. In current practice, however, most scientists do experiments in slightly different ways.
Why do scientists publish results of their research?
Publishing results of research projects in peer-reviewed journals enables the scientific and medical community to evaluate the findings themselves. It also provides instructions so that other researchers can repeat the experiment or build on it to verify and confirm the results. Researchers’ publication records carry…
Can you ask two data scientists the same question?
But in practice, as every analyst knows, interpreting data is a messy, subjective business. Ask two data scientists to look into the same question, and you’re liable to get two completely different answers, even if they’re both working with the same dataset. So much for objectivity.
Researchers also share results at national and international meetings and workshops, which are vital to building collaborations and stimulating cross-fertilization of ideas and methods.