Answer:
$3140
Explanation:
It is given that,
Weekly salary of Emily Casper is $785. We need to find her earning after 4 weeks. It is a type of question based on the unitary method.
1 week = $785
4 week = 4 × $785
= $3140
Hence, her salary after 4 weeks is $3140.
Answer:
The answer is intensive distribution strategy.
Explanation:
Intensive distribution strategy occurs when a company tries to sell their products through as many outlets as possible, thus ensuring that customers will encounter the company’s products in various distributor points. It is generally done to increase sales of products. Companies that would use this type of strategy are typically those that are competing in a perfect competition market, since product unavailability would just make customers of the product use a different brand from a competitor’s company instead.
Answer:
Technician A says a fleet shop is usually connected with either a business that runs multiple vehicles or with equipment that is maintained and repaired in house.
Answer:
$232,400
Explanation:
Data provided
Net increase in Retained Earnings = $182,000
Dividend declared for the year = $50,400
The computation of net income for the current year is shown below:-
Net income for the current year = Net increase in Retained Earnings + Dividend declared for the year
= $182,000 + $50,400
= $232,400
Therefore for computing the net income for the current year we simply added the net increase in retained earning with dividend declared for the year.
Answer:
Full question: <em>On their birthdays, employees at a large company are permitted to take a 60-minute lunch break instead of the usual 30 minutes. Data were obtained from 10 randomly selected company employees on the amount of time that each actually took for lunch on his or her birthday. The company wishes to investigate whether these data provide convincing evidence that the mean time is greater than 60 minutes. Of the following, which information would NOT be expected to be a part of the process of correctly conducting a hypothesis test to investigate the question, at the 0.05 level of significance?</em>
<em>Answe</em><em>r: Since that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes. </em>
Explanation:
<em>From the given question let us recall the following statements:</em>
<em>Employees at a large company are permitted to take a 60-minute Lunch break instead of the 30 minutes.</em>
<em>Data was gotten from = 10 randomly selected company employees on the amount of time that each actually took for lunch on his or her birthday</em>
<em>Given that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes.</em>
<em>The company tries to investigate the data to know that the mean is greater than 60 minutes</em>
<em>the next step is to find the process of correctly conducting a hypothesis test to investigate the question, at the 0.05 level of significance</em>
<em>Therefore,</em>
<em>Since that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes. </em>
<em>Or</em>
<em>The P-value> 0.05</em>
<em>The mean time is not greater than 60 minutes</em>
