Answer:
A. data mart
Explanation:
Data mart refers to a structure for storing and retrieving data. Often times, the data mart is usually specific to a business line.
The data contained herein is also specific to a particular department and by so doing this facilitate easy isolation, use and development of the data.
The major advantage of creating data marts is for easy accessibility of data.
Answer:
subnet mask
Explanation:
A subnetwork or subnet mask is a logical subdivision of an IP network.
To find out your subnet mask, the simlest way around it is to is to run a simple command line in windows.
Simply press the Windows key and “R” at the same time to open the command prompt and type “cmd” followed by “enter.” This will allow you to see your subnet mask.
In IPv4, the subnet mask 255.255. 255.0 is 32 bits and consists of four 8-bit octets. The address: 10.10. 10.0 subnet mask 255.255.255.0 this simply indicated that the subnet mask consists of a range of IP addresses from 10.10.10.0 - 10.10.10.255.
Subnet masks (IPv4) are often involved in identifying the range of IP addresses that make up a subnet, it can also be described as a group of IP addresses on the same network.
When using a self-contained recovery device on a cfc, hcfc, or hfc system with an operating compressor. Technicians must recover 80% of the nameplate charge.
Compressor is a mechanical device used in many industries which has the function of increasing gas pressure by reducing its volume. The air compressor is a specific type of gas compressor.
Compressors can be characterized in a number of different ways, but are usually divided into types based on the functional method used to produce compressed air or gas. The following are common compressor types. Types covered include:
- Pistons
- Diaphragm
- Helical Screw
- Slide propeller
- Scrolling
- Rotary Lobe
- Centrifugal
- Axial
How to use an air compressor
- Position the Air Compressor
- Check the Oil Level
- Check the Drain Valve
- Set the PSI
- Prepare the Air Tank
- Connect the Air Hose
- Connect the Desired Tool
- Remove Excess Moisture
You can learn more about compressor here brainly.com/question/26581412
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Answer:
import numpy as np
def sample_median(n, P):
return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(5, [0.3,0.7])
print(sample_median(5, [0.3,0.7])
Explanation:
- Bring in the numpy library to use the median function provided by the numpy library.
- Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
- Call the sample_median function by providing some values to test and then display the results.
Output:
4.5
4.0
2.0
1.0
