An Inverse Relationship Exists When

question 172

Multiple Choice

An inverse relationship exists when:

• A) there is no association between two variables.
• B) one variable increases and there is no change in the other variable.
• C) one variable increases and the other variable increases.
• D) one variable increases and the other variable decreases.

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Definitions:

T-statistic

A ratio computed from the observed sample mean difference divided by the standard error of the mean, used in hypothesis testing.

Critical Values

Critical values are thresholds in statistical hypothesis testing that define the boundary between the region where the null hypothesis is rejected and the region where it is not rejected.

Level of Significance

The probability of rejecting the null hypothesis when it is actually true, used as a criterion for deciding the outcome of a statistical test.

T-statistic

A type of statistic used in hypothesis testing, particularly in situations dealing with small sample sizes or unknown standard deviations, to determine if there is a significant difference between two sets of data.