First of all you need to get the knowledege about previous as you only a database administrator.
Answer:
true
Explanation:
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Answer:
Partly by the market mechanism and partly by the political process.
Explanation:
Capitalist Economy is private owned economy, with no state control, having profit maximisation objective. Socialist economy is state (govt) owned economy, having social welfare objective.
Mixed Economy is an economy co-owned by private & government sector. The goal is to achieve balance between profit maximisation & social welfare. The central problems of economy 'what, how, for whom to produce' are solved by both private & government sector. Output is allocated both on the basis of free market demand & supply mechanism, also on the basis of state/ govt (political) process. The govt (political) process regulates & monitors private role through various market interventions :- maximum quotas, price ceiling, price floor etc.
<span>we will explore the recruiting process used by human resource managers to review applications, test and interview candidates, perform reference checks and request health checks.The hiring process is the process of reviewing applications, selecting the right candidates to interview, testing candidates, choosing between candidates to make the hiring decision and performing various pre-employment tests and checks</span>
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.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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