Answer:
455
Step-by-step explanation:
multiply the width by the length
Answer: There are several ways in which we can determine our marketing budget. Some of these are given below:
<u><em>1. Percentage of revenues:</em></u>
Under this method we usually take a fixed percentage of our revenues and further allocating this amount for marketing. We will choose the percentage that works best for us.
<u><em>2. Percentage of net sales:</em></u>
This method determines our marketing budget as a fraction of our net sales. This method will take a lot of trial and error to find the percentage that works well for our company.
<u><em>3. Industry specific:</em></u>
Nowadays, industries have specific projections as to the amount they will need to spend on marketing . The best way to get these numbers is to find a firm that represents our industry and ask them to provide us with averages. We can then refine the actual costs.
<em><u>4. Objective/task oriented
</u></em>
This is model that works by setting out goals, planning out the tasks and then estimating the cost for all of these tasks. It works greatly for firms who have a immense knowledge about measurements and information of their business processes.
Answer:
<em>F test</em>
Step-by-step explanation:
<em>For any test using the F-distribution, a "F Test" is a capture-all word. In certain circumstances, as individuals speak about the F-Test, it is the F-Test to compare two variances that they actually talk about. </em>
Moreover, in a multitude of tests, the f-statistics is used such as regression analysis, the Chow test and the Scheffe test (a post-hoc ANOVA test).
One should be using Excel, SPSS, Minitab or some other form of software to run the experiment if you are running a F test.
<em><u>Steps include.</u></em>
- State the hypothesis of nullity and the counter hypothesis.
- Determine the value of F. The F value is determined using equation F = (SSE1 – SSE2/m)/SSE2/n-k, where SSE = square residual, m = number of constraints, and k = number of independent variables.
- Find the statistics for F (the critical value for the test). The F statistical formula is: F Statistics = group mean / mean variance of variances within the group.
- The F Statistics can be found in the F-Table.
- The Null Hypothesis is accepted or denied.
To get the answer we can use proportion
10 large ------------- 14 small
x large -------------- 35 small
crossmultiply
10*35=x*14
350=14x /:14
350:14=14x:14
25=x-its the answer
Answer:
yes
Step-by-step explanation:
60 - 0.1(60) = 54
60 - 6 = 54
54 = 54
