Identify the correct statements about hypothesis testing.

(A) A null hypothesis assumes that no relationship between variables or different groups exists.

(B) An alternative hypothesis assumes that no relationship between variable or different group exists.

(C) A hypothesis must be acceptable or falsifiable.

(D) The null hypothesis is always true.

Choose the correct answer from the options given below:

The correct answer is - (A) and (C) Only

Key Points

• (A) A null hypothesis assumes that no relationship between variables or different groups exists.
  • The null hypothesis is a statement that there is no effect or no difference, and it serves as the starting point for statistical testing.
• (C) A hypothesis must be acceptable or falsifiable.
  • For a hypothesis to be scientifically valid, it must be possible to test it empirically and potentially prove it false (falsifiability).

Additional Information

• Alternative Hypothesis
  • The alternative hypothesis proposes that there is a statistically significant effect or relationship between variables.
  • It is the opposite of the null hypothesis and is what researchers typically aim to support.
• Testing Hypotheses
  • Statistical tests are used to determine whether the evidence in a sample of data supports the null hypothesis or the alternative hypothesis.
  • If the null hypothesis is rejected, it suggests that there is evidence to support the alternative hypothesis.
• False Statements
  • (B) An alternative hypothesis does not assume no relationship; it assumes that there is a relationship or effect.
  • (D) The null hypothesis is not always true; it is a testable assumption that can be accepted or rejected based on statistical evidence.