Answer:
•Make sure doorway openings are at least 32 inches wide and doorway thresholds are no higher than 1/2 inch.
•Keep aisles wide and clear for wheelchair users.
•Make sure all levels of the lab are connected by a wheelchair-accessible route of travel.
For students with mobility impairments, make sure there are procedures in place for retrieving materials that may be inaccessible.
Make sure ramps and/or elevators are provided as an alternative to stairs. Elevators should have both auditory and visual signals for floors. Elevator buttons should be marked in large print and Braille or raised notation and easily reachable for wheelchair users.
Locate the lab near wheelchair-accessible restrooms with well-marked signs.
Service desks need to be wheelchair-accessible.
Provide ample, high-contrast, large-print directional signs throughout the lab. Mark equipment in the same fashion.
Provide study carrels, hearing protectors, or private study rooms for users who are easily distracted by noise and movement around them.
Provide at least one adjustable-height table with easily reachable controls for each type of computer.
Have wrist rests available to those who require extra wrist support while typing.
Keep document holders available to help users position documents for easy reading.
Mac OS came out in 2001. This is software that was created by Apple to run the "Mac Computers." This software is still used to this day.
MS-DOS came out in 1981. This is software that was created by Microsoft to run x86 computers. This software is no longer used.
Windows New Technology came out in 1985. This is software that was created by Microsoft to run a ton of different computers. This software is still used to this day.
Windows Vista came out in 2006. This software that was created by Microsoft to run a variety of personal computers. This software is no longer used.
By the information given, Windows Vista was the last to be released.
Best of Luck!
<span>make periodic adjustments on an as-needed basis. </span>
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
