Answer:
Self-esteem
Explanation:
Self-esteem is a person's evaluation of their worth. This evaluation is subjective as it may not be based on reality. Self-esteem is influenced by one's environment including peer groups, family, and coworkers.
Self-esteem induces the following feelings: shame, despair, pride, and triumph. It determines if a person likes themselves or not. People with high self-esteem are happy and comfortable with themselves, while those with low self-esteem are often depressed.
Rashan's self-esteem has gone low as he now believes what his family is telling him. That he is worthless.
Answer:
The answer is b. Advocacy research
Explanation:
Advocacy research is carried out with the intention of providing evidence and arguments that can be used to support a particular cause or position.
Answer:
Indirect costs incurred in a manufacturing environment that cannot be traced directly to a product are treated as Product costs and expenses when the goods are sold, Option D.
Explanation:
Indirect costs are also manufacturing overheads which cannot be directly put on the product but they have to be allocated in some way. So, these are treated as 'product costs' and 'expenses' when the goods are sold. They are not period costs as per Option A and option C. Option B which says that it is product costs when incurred, which is also incorrect.
Examples of indirect costs can be accounting and legal expenses, rent, telephone expenses, salaries of administrative.
Direct costs includes the costs of direct 'labor', materials and commissions.
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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