For a given experiment, and a given sample size, there is a probability that a treatment effect of a given size will yield a statistically significant finding. That is, if the treatment effect is 1 unit, then that probability (the power) might be 50%, and the power for a treatment effect of 2 units might be 75%, etc. Unfortunately, before the experiment, we don't know the treatment effect size, and indeed after the experiment we can only estimate it.
So a statistically significant result means that, whatever the treatment effect size happens to be, Mother Nature gave you a "thumbs up" sign. That is more likely to happen with a large effect than with a small one.
B
It is a probability; probability of side effect is .15 and probability of no side effect is .85.
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.
No correlational study is not cause and effect because correlation does not measure cause.
A very small effect having a greater side effect on a variable or an object may be termed as a strong correlation.
Things that effect population are competition for food, also known as survival of the fittest. Starvation, hunting, and over population.
A placebo is a treatment, most commonly a medication of some kind, which is given to a subject with the pretense that it will treat a specific ailment when in fact the treatment will have no significant effect on the subject. The subject may report that the treatment has had a positive effect, when in fact the effect is entirely in the imagination of the subject. Therefore, a placebo variable is a factor that researchers in the medical field must consider when experimenting with new treatments, to decide whether the success of the treatment is due to the psychological or placebo effect of the treatment, or if the treatment itself is working.
no
There is an established statistical point for most comparisons or measurements that is so small that differences at or below it are considered to be "random", "predictable", or "meaningless". If a difference between A and B exceeds this point, it is said to be "significant", which does not necessarily mean "important" or "huge" - just "significant".
Increased Immigration from China had a significant effect on railroads.
It depends on your alpha level. In the social sciences, we use an alpha level of 0.05. Therefore, anything less then this is considered statistically significant. If your significance is 0.0001 it mean that there is a 1/10000 chance that you would get your results by chance alone (as the engine of change). It is therefore fairly safe to conclude that the null hypothesis is incorrect (you can conclude that your IV had a significant effect on your DV). Be careful however, when interpreting significant levels, that is not to say that your IV had a BIG or SMALL effect on your DV (this is indicated by effects size), only to say that any change that resulted is not due to chance alone. It depends on your alpha level. In the social sciences, we use an alpha level of 0.05. Therefore, anything less then this is considered statistically significant. If your significance is 0.0001 it mean that there is a 1/10000 chance that you would get your results by chance alone (as the engine of change). It is therefore fairly safe to conclude that the null hypothesis is incorrect (you can conclude that your IV had a significant effect on your DV). Be careful however, when interpreting significant levels, that is not to say that your IV had a BIG or SMALL effect on your DV (this is indicated by effects size), only to say that any change that resulted is not due to chance alone.
To summarize an NIH article, probably not. They did research on musculoskeletal disorders and found that use of ultrasonic therapy was only statistically significant in one of the disorders-- where they will do a further study. But, it's not with out some basis in fact. Ultrasonic shock waves are used to break up kidney stones-- so it does have an effect in some diseases. But, probably only those systems large enough to be in a major hospital.
The increase in transportation was the most significant effect of the Industrial Revolution.
The most significant effect in the Industrial Revolution was the increase in transportation.
An unfavorable response due to prescribed medical treatment is known as a/an SIDE EFFECT
The most significant effect that the Russian revolution had on Europe was that it made Eastern Europe to experience to an economic failure.
Acute, uncomplicated chlamydia has little financial effect on patients. Most can get free testing and treatment at their county health department. Pelvic inflammatory disease and infertility can have significant financial costs, including hospital treatment, fertility evaluation and treatment, and other costs associated with starting a family for patients unable to conceive a child.
How the character creates an effect