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What does it mean when a researcher sets an observed p value 0.05 Are all statistical difference between groups that reach the 0.05 level or 0.01 level meaningful?
Wiki User
∙ 10y ago
Yes, in fact any statistical having a probability of occurence under the null hypothesis less than 0.05 would be considered significant.
Wiki User
∙ 10y ago
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Why are researchers so careful about drawing conclusions regarding statistical significance?
They want to make sure an observed difference isn't due to chance
When a researcher cannot tell which variable might be causing an observed effect in an experiment the variables are?
confounded
What is The percent difference between an observed value and its actual value?
It is the observed error.
The difference between an observed or calculated value and a true value?
error
What is the meaning of the word likelihood?
In statistics, a likelihood function (often simply likelihood) is a function of a statistical model. The likelihood of a set parameter values, given outcomes x, is equal to the probability of those observed outcome.
What is significant difference?
A significant difference refers to a statistically meaningful distinction between two or more groups or variables. It implies that the difference observed is unlikely to have occurred by chance and is likely to have practical relevance. Statistical tests are used to determine if a difference is significant.
Why are researchers so careful about drawing conclusions regarding statistical significance?
They want to make sure an observed difference isn't due to chance
How do you know if a figure is significant or not?
A figure is considered significant if it represents a statistically meaningful result, typically determined by comparing it to a threshold value (e.g., p < 0.05). Significance indicates that the observed difference or relationship between variables is unlikely to have occurred by chance. Conducting statistical tests such as t-tests or ANOVAs can help determine the significance of a figure.
When a researcher cannot tell which variable might be causing an observed effect in an experiment the variables are?
confounded
What is a statement of no difference?
A statement of no difference, in the context of statistical analysis, is when the data does not provide enough evidence to reject the null hypothesis that there is no significant difference between the groups being compared. This suggests that any observed differences may be due to random chance rather than a true effect.
What does SS stand for in statistical t-tests?
It stands for sum of squares maybe? This is the sum of (observed value-mean value)^2 for all the observed values
What is used as a way to compare values for dependent values in many expiriments?
A statistical test, such as t-test or ANOVA, is commonly used to compare dependent values in experiments to determine if there is a significant difference between them. These tests provide a statistical measure to determine the likelihood that any differences observed are not due to random chance.
Which sentence uses lep?
"The researcher observed a lep of monkeys in the wild."
Which variable in the data that cannot be controlled?
In observational studies, the independent variable (or exposure) is the variable that cannot be controlled by the researcher. This variable is already present and its impact is observed without any intervention or manipulation by the researcher.
To decide whether observed differences between samples reflect actual differences between?
statistical significance
How do you know when there is a significant difference in statistics?
In statistics, a significant difference is typically determined through hypothesis testing. This involves comparing the observed data with what would be expected by chance alone. If the difference between the observed data and what is expected by chance is large enough, it is considered statistically significant. This is typically determined by calculating a p-value, with a lower p-value indicating a higher level of statistical significance.
What does statistical evidence mean?
Statistical evidence refers to data or information that has been gathered or analyzed using statistical methods. This evidence provides support for or against a particular hypothesis, theory, or claim through the use of statistical measures and tests to assess the likelihood of the observed results occurring by chance.
