Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
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The Operations Section Chief directs all responses and tactical actions to achieve the incident objectives.
<h3>What is
Operations Section Chief ?</h3>
The Operations Section Chief, a member of the General Staff, is in charge of all operations directly related to the core mission. The Operations Section Chief initiates, supervises, and leads the execution of organizational elements in accordance with the Incident Action Plan.
The Operations Section Chief directs tactical incident activities to achieve incident objectives and oversees the implementation of the Incident Action Plan (IAP). 1. This role can be ordered as a stand-alone resource or as part of a National Incident Management System (NIMS) team (Incident Management Team).
The OSC1 works in the Operations functional area and reports to the Incident Commander (IC). The OSC1 performs duties corresponding with the Type 1 incident complexity and characteristics outlined in the Interagency Standards for Fire and Firefighting.
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Answer:
The correct answer is option b.
Explanation:
Positive economics is a branch of economics that is concerned with explanation of economic phenomena. It is based on facts and data. It answers to what is, what was.
Normative economics, on the other hand, is concerned with judgment. It answers to what should be or what ought to be.
Structural unemployment is caused because of a mismatch between the skills that the workers possess and the skills that the employers want.
Innovation and technological changes will always cause structural unemployment and create winners and losers. So the government should focus on helping the displaced workers in finding new jobs, instead of limiting innovation.
As this involves what should be done, it is a normative issue.
