To calculate the break-even point, you need to know the fixed costs, variable costs per unit, and the selling price per unit.
Break-even point (in units) = Fixed Costs / (Selling Price per Unit - Variable Cost per Unit)
Without specific values for fixed costs, selling price per unit, and variable cost per unit, I can't provide you with an exact break-even point. Please provide these values, and I'll be happy to help you calculate the break-even point.
by using your brain
Yes.
Phylogeny is discovered using molecular sequencing data and morphological data matrices.
A. Using a removable hard drive to transport data from one desktop to another off-site desktop.B. Using a thumb drive to transport data from one desktop at work to another desktop at work.C. Using a CD to transport data from a desktop at work to a home laptop.D. All of the Above (Correct!)
To determine velocity using position and time data, you can calculate the average velocity by dividing the change in position by the change in time. This gives you the speed and direction of an object's motion at a specific point in time.
You can determine the amount of memory a device driver allocates for itself and its data by using the MEM command with the \M filename option.A+ Guide to software fourth edition page 311
By limiting who has access to the data, the information is more secure. Additionally, if the information is compromised, the business can easily determine who did it.
All of the above.
No proper data can be used to determine a falsehood, and since mass and weight are NOT the same thing there can be no such data.
snac ecm for codes then using code data you can determine which sensor kbutlrtech@yahoo.com
1. determine the object 2. determine the study population 3.determine the data to be collected 4.collecting data 5.developing instrument 6.actual data gathering 7.data collation 8.summarize data 9.data presentation 10.data analysis
In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.