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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.
What else can I help you with?
Why are the larger t-ratios more likely to be statistically significant?
Larger t-ratios indicate a greater difference between the sample mean and the null hypothesis mean relative to the variability in the data. This suggests that the observed effect is less likely to be due to random chance. As a result, larger t-ratios are more likely to exceed the critical value for significance, leading to a higher probability of rejecting the null hypothesis. Thus, they often indicate stronger evidence against the null hypothesis.
Is this a probability or statistic the incidence of a particular side effect of a new drug is 15 percent?
It is a probability; probability of side effect is .15 and probability of no side effect is .85.
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.
Correlational study is it cause and effect?
No correlational study is not cause and effect because correlation does not measure cause.
What is strong correlation?
A very small effect having a greater side effect on a variable or an object may be termed as a strong correlation.
What is a placebo variable?
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.
Is there a significant interaction when there is a significant effect for factor A and a significant effect for factor B?
no
What does it mean to say the difference between the means of group a and b is statistically significant?
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".
Which industry was helped the most by increased immigration from China?
Increased Immigration from China had a significant effect on railroads.
What is a statement o no difference in experimental treatments?
A statement of no difference in experimental treatments indicates that there was no significant effect observed between the groups being compared. It suggests that the results obtained from the treatments were similar or not statistically different from each other. This is often reported after statistical analysis has been performed to determine if there is a significant difference between groups.
Is ultrasound therapy a legitimate treatment?
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.
Is .000 statisticaly significant on SPSS?
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.
An unfavorable response due to prescribed medical treatment is known as?
An unfavorable response due to prescribed medical treatment is known as a/an SIDE EFFECT
What is the difference between a side effect and a residual effect?
A side effect is an unintended effect of a treatment or medication, while a residual effect is a lingering effect that can persist after the treatment or medication has been discontinued. Side effects are typically immediate or short-term, whereas residual effects can last longer and may require monitoring or additional treatment.
What is the average treatment effect on the treated individuals in the study?
The average treatment effect on the treated individuals in the study refers to the impact of the treatment on those who actually received it. It measures the difference in outcomes between those who received the treatment and those who did not.
What is the average treatment effect on the treated individuals in this study?
The average treatment effect on the treated individuals in this study refers to the impact of the treatment on those who actually received it. It measures the difference in outcomes between those who received the treatment and those who did not.
What is the impact of the treatment effect on the treated individuals in the study?
The impact of the treatment effect on the treated individuals in the study refers to how the treatment specifically affects those who received it. This helps researchers understand the effectiveness of the treatment and its benefits for the individuals involved.
