8 - Apex
That means that your prediction was wrong and that you should include your results in the conclusion and try to explain some of the reasons why your prediction was wrong and if it was wrong because you were doing the experiment wrong.
The 20th percentile is an estimate of the value in which 20% of the observations should fall below this value and 80% should be above it. Methods vary on the calculations, but all methods will give similar results if there are a large number of values. See: http://en.wikipedia.org/wiki/Percentile
Not necessarily. It might mean that the experiment has a highly stable outcome. You need to evaluate if that is true or if the experiment is flawed. It comes down to theoretical expectations versus experimental outcomes - you should know a priori (before the fact) what to expect, so you can know if the results are good. For instance... If you were measuring the radioactivity of a sample with a relatively low count rate using a detector that recorded counts in each second, you would expect a poissen distribution. If you were measuring the same sample with a detector that counted for 1 minute, you would expect a more gaussian distribution. If, on the other hand, you were measuring the wavelength of a red laser, you would expect that every single observation would give you the same results, within an extremely tight distribution.
Estimates based on the sample should become more accurate.
If there is an independent variable, then that should go on the x axis. This is the variable that influences whatever you are measuring but is not influenced by it - for example time. If the variables affect each other then the one you have more control over. The one that you change and then measure the other. But these methods do not always work. If your experiment is to plot the readings from Celsius and Fahrenheit thermometers in a beaker that is heated, either of the C value or F value can go on the x axis.
7 - Apex
The answers are usually always valid. What may or may not be valid are your assumptions about the underlying model. Also, the number of times the results should be similar depends on the number of possible outcomes and the variability in the outcomes. For example, if you spin a fair spinner with 12 equal segments, then the probability of similar results is less than likely.
replicable, meaning that they can be reproduced by others following the same procedure. The results should also be objective and unbiased, allowing for accurate interpretation and analysis. Additionally, the experiment should be conducted with proper controls and variables to ensure validity.
The introduction should include a description of the species in the environment in which the experiment is being conducted.
8 - Khalil.R
In order for an experiment to yield useful data, it is necessary to have a carefully designed experimental setup that controls for variables, a clear research question or hypothesis to guide the experiment, and a sufficient sample size to ensure statistical significance. Additionally, the experiment should be replicable by other researchers to verify the results.
Analyze the experiment to decide whether the results were flawed.
Experimentation enables the investigator to control the situation and to decrease the possibility that unnoticed, outside variables will influence the results. From Understanding Psychology Teacher Wraparound Edition, Hardcover (2008)
No redo the experiment.
The results of an experiment must be reproducible, meaning that they can be consistently obtained when the experiment is repeated by other researchers. Results should also be accurate, reflecting the true outcome of the experiment, and relevant to the research question being investigated. Additionally, results should be clearly presented and interpreted in the context of existing scientific knowledge.
The scientist or student scientist should review the results. Conclusions should be drawn based on the results. Then, the hypothesis is reviewed to make sure the results confirm the hypothesis; if not, revise the hypothesis and rerun the experiment.
Brassica rapa germinates and grows extremely well. I conducted a science experiment for my research class involving hydrogen peroxide and if you make sure that the plants are cared for and put where they have to go (they are extremely small seeds) then your results should be quick and accurate.