Null hypothesis states

Null hypothesis states

• A. There is no significant relationship between two variables
• B. There is always a significant relationship
• C. It defines the population
• D. It specifies the research design

Answer: (A)

The null hypothesis is a statement of no effect or no relationship that researchers test against. In this item, it would posit that there is no significant relationship between the variables being studied. It provides a baseline assumption that any observed relationship could be due to chance. The purpose of hypothesis testing is to determine whether the data give enough evidence to reject this null at a chosen significance level. If the results show a p-value below the threshold, we reject the null and conclude there is a statistically significant relationship; if not, we fail to reject the null. The other options describe things unrelated to what the null states: one asserts a guaranteed significant relationship, while the remaining refer to defining the population or the research design, which are about study setup rather than the null statement.

The null hypothesis is a statement of no effect or no relationship that researchers test against. In this item, it would posit that there is no significant relationship between the variables being studied. It provides a baseline assumption that any observed relationship could be due to chance. The purpose of hypothesis testing is to determine whether the data give enough evidence to reject this null at a chosen significance level. If the results show a p-value below the threshold, we reject the null and conclude there is a statistically significant relationship; if not, we fail to reject the null. The other options describe things unrelated to what the null states: one asserts a guaranteed significant relationship, while the remaining refer to defining the population or the research design, which are about study setup rather than the null statement.