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Q: How does data variability affect the results of statistical analysis?
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Continue Learning about Math & Arithmetic

What is it called when a data point on a graph doesn't follow the pattern of the rest?

A data point on a graph that doesn't follow the pattern of the rest is called an "outlier." Outliers can indicate variability in the data, measurement errors, or novel phenomena that deviate from the expected trend. They can significantly affect statistical analyses and interpretations, so it's important to investigate their causes.


How does standard deviation of 0 affect statistical significance?

Standard deviation of 0 can only be attained if all observations are identical. That is, the variable in question has just one possible value so statistical considerations are irrelevant.


What can affect the results of saliva sample testing?

Smoking, eating, drinking, and brushing the teeth can affect test results, as can the way in which the person puts saliva on the slide.


What is the similarities between correlation analysis and regression analysis?

Correlation analysis seeks to establish whether or not two variables are correlated. That is to say, whether an increase in one is accompanied by either an increase (or decrease) in the other most of the time. It is a measure of the degree to which they change together. Regression analysis goes further and seeks to measure the extent of the change. Using statistical techniques, a regression line is fitted to the observations and this line is the best measure of how changes in one variable affect the other variable. Although the first of these variables is frequently called an independent or even explanatory variable, and the second is called a dependent variable, the existence of regression does not imply a causal relationship.


What is a lurking variable?

anything that is not being tested in an experiment but may affect the results that you get.