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What does an experiment show when it show that two variables are closely related?
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What variables would be used to show motion of an object on a graph?
A graph and an object.
Give an experiment to show that air a bad conductor of heat?
horrible
How will you show by experiment that air is present?
If you are discussing in terms of classifying various gases, and by air you mean oxygen. The experiment you would use is a glowing split test.
How do you find the mass of irregular object show the experiment?
submerge in liquid and measure the displacement
What is the layout of a planning and designing for physics?
Aim: --What the experimen hopes to determine. Hypothesis : --An EDUCATED (DO RESEARCH FIRST)guess on the possible outcome of the experiment. Design Considerations : -- Identify the manipulated, responding and control variables . -- Any theory relevant to the aim . -- State and evaluate alternative method of carrying out the experiment. -- Justify which method was chosen. List of apparatus : --list of ALL apparatus that WILL be used in the experiment. Diagram of apparatus Method : --Give instructions , state which apparatus is being used. Treatment Of Results: -- Show how results are to be treated, e.g. table , graph , etc...
When an experiment shows that two variable are closely related what does the experiment show?
Correlation
When an experiment sHow is that two variable are closely related the experiment shows?
coorelation
The factor in an experiment that is changed by the experinenter is the?
A scientific experiment must be done by something that can show change. All of these can be variables.
What can be used to show a cause and effect between two variables?
A controlled experiment can be used to show a cause and effect relationship. ex: an experiment studying the effect of a certain medicine on patients.
What can a line graph tell you about the relationship between variables in a experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can A line graph tell you about the relationship between the variables in experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can a line graph tell you about the relationships between the variables in experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can line graph tell you about the relationship between the variables in an experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can a line graph tell you about the relationship between the variables in an experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can a line graph tell you the relationship between the variables in an experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What is a way of plotting data to show changes occur in related variables?
A scatterplot.
Closely related species show more in nucleotide sequences than distantly related species?
similarity
