The of a study establishes the boundary between finding significant support and lacking enough support for a researcher’s claim. a. significance error b. critical value c. statistical power d. statistical probability

the answer is b: critical value

The critical value of a study establishes the boundary between finding significant support and lacking enough support for a researcher's claim.

Option B

Explanation:

The "critical value" is used to check the significance of testing. If the "null hypothesis" has to be rejected then the critical value must exceed for the test statistic. It can also be explained via the help of graph by drawing a line that makes two halves of a graph. Among them the section is termed as rejection part. The "null hypothesis" is also gets rejected if the test value comes in the given part.

The critical value is calculated by a formula which includes probability and a term alpha and this value can also be derived from a calculator.

The critical value of a study establishes the boundary between finding significant support and lacking enough support for researcher´s claim.

Is a point in the distribution of the test statistic under the null hypothesis that defines a set of values thats support the rejection of the null hypothesis.

try something like republic or democracy joined or something because its talking about a election party.