What Is The Appropriate Way To Analyze The Results Of An Experiment? - Fixanswer

Explanation: When analyzing experimental results, a

scientist is determining whether his or her hypothesis is supported or disproved by the experimental evidence

. The analysis may lead to new or altered hypotheses that will need to be tested.

What is analyze the result in science?

Form a hypothesis — a tentative description of what’s been observed, and make predictions based on that hypothesis. Test the hypothesis and predictions in an experiment that can be reproduced.

Analyze the data and draw conclusions

; accept or reject the hypothesis or modify the hypothesis if necessary.

What are the results of an experiment called?

An OUTCOME (or SAMPLE POINT)

is the result of a the experiment. The set of all possible outcomes or sample points of an experiment is called the SAMPLE SPACE.

What are the 7 scientific method steps?

Ask a question.
Perform research.
Establish your hypothesis.
Test your hypothesis by conducting an experiment.
Make an observation.
Analyze the results and draw a conclusion.
Present the findings.

What are interpretation methods?

Data interpretation methods are

how analysts help people make sense of numerical data that has been collected, analyzed and presented

. Data, when collected in raw form, may be difficult for the layman to understand, which is why analysts need to break down the information gathered so that others can make sense of it.

Why is it important to compare your results with others?

III.

This is important because

comparing and contrasting the findings of other studies

helps to support the overall importance of your results and it highlights how and in what ways your study differs from other research about the topic.

What will you do after analyzing the result of the experiment?

After you gathered and analyzed your data,

you draw a conclusion about your hypothesis

. A conclusion is a sum- mary of what you have learned from an experiment. In drawing your conclusion, you should ask yourself whether the data supports your hypothesis.

What is the variable in an experiment?

A variable is

anything that can change or be changed

. In other words, it is any factor that can be manipulated, controlled for, or measured in an experiment. Experiments contain different types of variables.

What are 3 types of variables?

These changing quantities are called variables. A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables:

independent, dependent, and controlled

.

What is a judgment based on the results of an experiment?

A judgement based on the result of an experiment. Part of the experiment used to show that the results of an experiment is really due to the conditions being tested. (The part of the experiment that is not changed.)

What is an experiment in statistics?

A statistical experiment is

a random or nondeterministic experiment

. Its features are that: each experiment is capable of being repeated indefinitely under essentially unchanged conditions.

What are the 10 steps of the scientific method?

1 – Make an Observation. You can’t study what you don’t know is there. …
2 – Ask a Question. …
3 – Do Background Research. …
4 – Form a Hypothesis. …
5 – Conduct an Experiment. …
6 – Analyze Results and Draw a Conclusion. …
7 – Report Your Results.

What are the basic steps of scientific method?

Step 1. Make an Observation. Before a researcher can begin, they must choose a topic to study. …
Ask a Question. …
Test Your Hypothesis and Collect Data. …
Examine the Results and Draw Conclusions. …
Report the Results.

What are the 6 basic steps in scientific methods?

Make an observation.
Ask a question.
Form a hypothesis, or testable explanation.
Make a prediction based on the hypothesis.
Test the prediction.
Iterate: use the results to make new hypotheses or predictions.

What is the difference between data analysis and interpretation?

What is the difference between Data Analysis and Interpretation? Data analysis is the

process of uncovering patterns

and trends in the data. Data interpretation is the process of assigning meaning to the data. It involves explaining those discovered patterns and trends in the data.