Graphical Relationship between Sine and Cosine Functions

In summary, "describe the relationship" means explaining the connections or associations between variables or concepts. In a scientific context, this involves using objective and precise language, data, and evidence. There are different types of relationships in science, including causal, correlational, and non-linear. The strength of a relationship can be determined through statistical analysis. Describing relationships is important for a deeper understanding of phenomena and potential applications in decision-making and problem-solving.
  • #1
danglade
7
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[SOLVED] describe the relationship

describe the realtionship between the graphs of y=sinx and y=cosx
 
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  • #2
If you draw them both between x values of -360 degrees to 360 degrees, you will see they are really the same shape, except one is shifted to the left abit =]
 
  • #3
Thanks =)
 

FAQ: Graphical Relationship between Sine and Cosine Functions

What does "describe the relationship" mean?

"Describe the relationship" refers to explaining the connections or associations between two or more variables or concepts. This can include identifying patterns, determining cause and effect, or analyzing correlations.

How do you describe a relationship in a scientific context?

In a scientific context, describing a relationship involves using objective and precise language to explain the connections between variables or concepts. This can include using data and evidence to support your description and avoiding subjective opinions.

What are the different types of relationships in science?

There are several types of relationships that can exist in science, including causal relationships (where one variable directly affects another), correlational relationships (where two variables are related but not necessarily causally linked), and non-linear relationships (where the relationship between variables is not a straight line).

How do you determine the strength of a relationship in science?

The strength of a relationship in science can be determined by analyzing the magnitude of the correlation coefficient (in correlational relationships), conducting statistical tests, or using other quantitative measures such as effect size or confidence intervals.

Why is it important to describe relationships in science?

Describing relationships in science is important because it allows us to better understand how different variables or concepts are connected and how they may influence one another. This can lead to a deeper understanding of phenomena and potentially inform decision-making and problem-solving in various fields.

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