Question

An advertising agency wants to test the hypothesis that the proportion of adults in a country who read a sunday magazine is 25 percent. The null hypothesis is that the proportion reading the sunday magazine is: more than 25 % equal to 25% cannot be determined from the info. Given different from 25% less than 25 %

Answer 1

The advertising agency will test the null hypothesis, which states that there are not 25 percentages of adults who read the Sunday magazine.

Given: The proportion of adults in a country who read a Sunday Magazine is 25 percentage.

• A hypothesis is an assertion or justification based on scant evidence.
• It acts as a starting point for more research, testing, or polling.

Alternative hypothesis:

• An alternative hypothesis is one that someone attempts to prove and is successful in doing so.
• It demonstrates the statistical support or confirmation for the variables given in the hypothesis.
• The researcher's logic is sound, according to an alternative hypothesis.

Null hypothesis:

• A null hypothesis is one that is found to be unsupportive by someone who intends to arrive at an alternate hypothesis.
• It disproves the variables given in the hypothesis and shows that they lack any support from statistics or experiments.
• The null hypothesis suggests that the variables selected for the study of a hypothesis need to be altered or revised.

Hence, every test will either confirm the null hypothesis or support the alternative hypothesis.

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Answer 2

The null hypothesis will be: "the proportion reading the Sunday magazine is more than 25 %"

Hypothesis Testing: In statistics, the process of hypothesis testing involves putting an analyst's presumption about a population parameter to the test. The type of data used and the purpose of the study will determine the methodology the analyst uses.

Null Hypothesis: The null hypothesis typically states that two population parameters are identical; for instance, it can claim that the population mean return is equal to zero.

Alternate Hypothesis: The alternate hypothesis serves as the null hypothesis' exact opposite (e.g., the population mean return is not equal to zero). Since they contradict one other, only one of them can be true.

One of the two possibilities will, however, always be accurate.

In the given situation, the hypothesis will be:

null hypothesis: "the proportion reading the Sunday magazine is more than 25 %"

alternate hypothesis: "the proportion reading the Sunday magazine is equal to 25 %"

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