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They call it a genetic trait that has been left over from our primitive ancestors. The feeling of the need to be loved- The drive to go out and search for a mate. Subconciously, relationships are nothing but two people that want to have sex and replicate. End of story.
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How can you use morphological and genetic data to build a cladogram that illustrates the evolutionary relationships among different species?
To build a cladogram showing evolutionary relationships among species, scientists can analyze morphological traits (physical characteristics) and genetic data. By comparing similarities and differences in these traits and genetic sequences, scientists can determine how closely related species are and create a visual representation of their evolutionary history.
How does scientists organize data?
Scientists organize data using various methods such as creating tables, graphs, charts, and databases. They may also use statistical analysis to identify patterns, trends, and relationships in the data. Proper organization of data helps scientists to draw meaningful conclusions and make informed decisions based on their research.
What is the job of a infastructure analyst in database modeling?
A data model is a collection of conceptual tools for describing data, data relationships, data semantics, and consistency constraints.2 data models : the entity-relationship model and the relational modelER model is a high-level data model. It is based on a perception of a real world that consists of a collection of basic objects, called entities, and of relationships among these objects.The relational model is a lower-level model. It uses a collection of tables to represent both data and the relationships among those data.
Why do scientists create graphs?
Scientists create graphs to visually represent data and to better understand patterns and relationships within the data. Graphs allow scientists to analyze and interpret information more easily, identify trends, and communicate their findings to a wider audience. Graphs also help scientists make predictions and draw conclusions based on the data they have collected.
What do scientists do when analyzing data?
Scientists analyze data by using statistical tools and techniques to identify patterns, trends, and relationships within the data. They compare data sets, look for correlations, and draw conclusions based on the evidence presented in the data. Ultimately, scientists use data analysis to support or refute hypotheses and to make informed decisions about their research findings.
How can organizing data into tables and graphs help scientists analyze their data?
by making relationships easier to see
Why do scientists plot graphs?
It makes it easier to see trends and direct relationships in data.
Why do scientists display data in graphs?
Graphs are a convenient way to display relationships between variables.
Is this true or false the value of ethnographic data is based on authentic human relationships established over time?
The value of ethnographic data is based on authentic human relationships established over time.
What type of data can maps show us and how does this help scientists?
Maps can show spatial relationships and patterns in data such as population distribution, land use, and natural resources. This helps scientists visualize and analyze complex information, identify trends, and make informed decisions based on the geographical context of the data.
Does the process of defining relationships among data to create useful information requires knowledge?
yes
Why do scientist analyze their data?
Analyzing data helps scientists explain their observations and their explanations are based on the evidence they collected.
