Hypothesis Testing Please answer as soon as possible Show your steps and follow
ID: 3054795 • Letter: H
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Hypothesis Testing
Please answer as soon as possible
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In planning an experiment for which the outcome will be the result of a hypothesis test, it is necessary to have a clear idea of three things:
- what is the target population or populations?
- what population parameter or population parameters are involved in the hypothesis test?
- what is the claim? What are the null hypothesis (H0) and the alternative hypothesis (HA)?
For each of the following scenarios, identify each of these three things:
1. Organizational citizenship behavior (OCB) refers to things employees do in the workplace that go beyond their formal job description and for which they are not formally rewarded or remunerated. OCB is typically evaluated via questionnaires. It is believed that higher OCB scores lead to all sorts of better performance overall of companies. Some see this is a challenge for ITrelated companies in which male employees tend to outnumber female employees quite significantly, because they claim that male IT-specialists will tend to score lower on an OCB assessment than will female IT-specialists.
- the target populations (what is being sampled from) are:
- the population parameters referenced are (give the usual symbols and definition in words):
- the claim is:
H0 is:
HA is:
2. A study examined several thousand women age 40+ for a ten year period. One claim that was to be considered was that the percentage of women who smoked was lower for those women who survived until the end of the study than for those who did not survive to the end of the study.
- the target populations (what is being sampled from) are:
- the population parameters referenced are (give the usual symbols and definition in words):
- the claim is:
H0 is:
HA is:
Explanation / Answer
1. Population are : all employees of the organisation
Population Parameter: Average Employee of the organisation
claim: male IT-specialists will tend to score lower on an OCB assessment than will female IT-specialists in the organisation.
H0: score of the male IT-specialists is equal to the female IT-specialists in the organisation.
H1: score of the male IT-specialists is lower than the female IT-specialists in the organisation.
2. the target populations are: all women age of 40+ for a ten year period
- the population parameters referenced are (give the usual symbols and definition in words): Average number of women who is smoker
- the claim is: percentage of women who smoked was lower for those women who survived until the end of the study than for those who did not survive to the end of the study
H0 is: Life of Smoker women is equal to the life of Non-smoker Women.
HA is: Life of Smoker women is less than the life of Non-smoker Women.
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