Question

In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A) A statement of “no effect” or “no difference.
B) The probability of observing the data you actually obtained.
C) A statement that the data are all
D) 0. 0.05.

Answer 1

Answer:

A) A statement of “no effect” or “no difference.

Answer 2

In formulating hypotheses for a statistical test of significance, the null hypothesis is often a statement of “no effect” or “no difference.

What is the hypothesis?

" Hypothesis is defined as the assumption based on some given proofs."

According to the question,

Given statement,

In formulating hypotheses for a statistical test of significance, the null hypothesis is often

• Null hypothesis represents the statistical theory that shows there is no statistical relation between the given statement and the variables for the given data.
• Null hypothesis is often a statement of "no effect" or " no difference".

Hence, Option (A) is the correct answer.

Learn more about the hypothesis here

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