When reviewing experimental data, scientists look for results that either support or disprove their theories. Additionally, they may seek patterns of results that either match previous results or that suggest another reason for the results.
Patterns
When reviewing experimental data, scientists look for results that either support or disprove their theories. Additionally, they may seek patterns of results that either match previous results or that suggest another reason for the results.
When analyzing data, scientists look for patterns, trends, and relationships that can provide insights into the hypothesis or research question. They aim to identify significant results that support or refute their initial assumptions. Conversely, they also look for anomalies or outliers that may indicate errors or unique phenomena, and they assess the reliability and validity of their data. Ultimately, the goal is to derive meaningful conclusions that contribute to the broader understanding of the subject.
The term that describes information gathered by a scientist during an investigation is "data." This can include both quantitative data, which is numerical and measurable, and qualitative data, which involves descriptive attributes and characteristics. Data is crucial for analyzing results, drawing conclusions, and supporting scientific theories.
They look at the elements of the landmass.
patterns
Patterns
analyzing data
she is analyzing data
scientist analyes their experiment
Analyzing data helps scientists explain their observations and their explanations are based on the evidence they collected.
International System of Measurement
facts
When reviewing experimental data, scientists look for results that either support or disprove their theories. Additionally, they may seek patterns of results that either match previous results or that suggest another reason for the results.
dramtick changes in the data and if the hipothisos is corect
international system of measurement
When analyzing data, scientists look for patterns, trends, and relationships that can provide insights into the hypothesis or research question. They aim to identify significant results that support or refute their initial assumptions. Conversely, they also look for anomalies or outliers that may indicate errors or unique phenomena, and they assess the reliability and validity of their data. Ultimately, the goal is to derive meaningful conclusions that contribute to the broader understanding of the subject.