Answer: system administrator
Explanation:
The responsibilities of the database system administrator are as follows:
1. Should be able to identify the needs of the different users and their associated databases and install software as and when required.
2. making sure that the database is functionally efficiently as well as the associated software's.
3. Updation of the software and their maintenance along with the databases.
4. Backing and restoring of the databases in situation of different data loss hazards.
I believe lightbulbs have different brightness because of there quality parts that make it. The cheaper they are usually the worse quality. That is my theory.
Answer:
True
Explanation:
Solution
ZigBee uses unlicensed frequency bands but operate at slower speed or data rates.
ZigBee: This communication is particular designed for control and sensor networks on IEEE 802.15.4 requirement for wireless personal area networks (WPANs), and it is a outcome from Zigbee alliance.
This communication level defines physical and (MAC) which is refereed to as the Media Access Control layers to manage many devices at low-data rates.
Information technology can be defined as the study or use of systems for storing, retrieving, and sending information. Can be abbreviated to IT.
Answer:
The probability that you have the disease, given that your test is positive is ≈ 0.0098
Explanation:
This is a conditional probability problem.
Let P(A|B) denote the conditional probability of A given B and it satisfies the equation
- (1) P(A|B) = P(A) × P(B|A) / P(B)
We have the the probabilities:
- P(Testing Positive | Having Disease) =0.99
- P(Testing Negative | Not Having Disease) =0.99
- P(Testing Positive | Not Having Disease) = 1-0.99=0.01
- P(Having Disease) = 0.0001 (striking only one in 10,000 people)
- P(Not Having Disease)= 1 - 0.0001 = 0.9999
<u>We can calculate</u>:
P(Testing Positive) =
P(Having Disease) × P(Testing Positive | Having Disease) + P(Not Having Disease) × P(Testing positive | Not Having Disease ) = 0.0001×0.99 + 0.9999×0.01 =0.010098
<u>from </u><u>(1) </u><u>we have the equation</u>:
P(Having Disease|Testing Positive)=P(Having Disease) × P(Testing Positive | Having Disease)/ P(Testing Positive) = 0.0001×0.99/0.010098≈0.0098
Thus, the probability that you have the disease, given that your test is positive is ≈ 0.0098
