Answer:
Science could test because they have to sure that it properly works or not
Quantitative methods of control are tools or instruments used to facilitate and carry out control that uses numerical values for planning in decision making, some of these methods are:
It is the method of formal quantitative expression of the objectives that the administration of the company proposes to achieve in a period, its purpose is the appropriate allocation of the resources available to the entity.
The audit is a control method to improve the organization, management and administration of risks, providing a vision and recommendations based on the analysis and evaluation of data and processes.
Therefore, we can conclude that quantitative methods of control are instruments that have a measurable and controllable characteristic, among these methods are budgets and audits.
Learn more about quantitative methods here: brainly.com/question/22812381
In order to have the result of the above calculation in Cell E7, you need to use the formula<u>, "=E6 - E5."</u>
<h3>Features of Excel</h3>
- Allows for calculations from basic math to complex finance.
- For subtraction, can simply use the minus (-) to deduct the figure in a cell from another cell.
To subtract the 250 in E6 from the selling price in E5, put an equal sign in E7 and select E5, put a minus (-) sign and then select E6. Press enter.
To extend this to other products, drag the part highlighted in the attachment across to the other products.
In conclusion, Excel can be quite helpful.
Find out more problems on Excel at brainly.com/question/25879801.
Step-by-step explanation:
Assuming the data is as shown, restaurant X has a mean service time of 180.56, with a standard deviation of 62.6.
The standard error is SE = s/√n = 62.6/√50 = 8.85.
At 95% confidence, the critical value is z = 1.960.
Therefore, the confidence interval is:
180.56 ± 1.960 × 8.85
180.56 ± 17.35
(163, 198)
Restaurant Y has a mean service time of 152.96, with a standard deviation of 49.2.
The standard error is SE = s/√n = 49.2/√50 = 6.96.
At 95% confidence, the critical value is z = 1.960.
Therefore, the confidence interval is:
152.96 ± 1.960 × 6.96
152.96 ± 13.64
(139, 167)
