Answer:
You can do it for refrence or to support that website
Explanation:
Answer:
4.24
Explanation:
First you find the mean of the data set, which is 7. Then to find standard deviation you have to follow the formula which tells you to subtract the mean from each number under the square root : √(2 - 7)^2 + (9 - 7)^2 + (10 - 7)^2 + (4 - 7)^2 + (8 - 7)^2 + (4 - 7)^2 + (12 - 7). Once you solve the parenthesis you square it, once you square it the negatives won't matter. That will leave you with this : √(25 + 4 + 9 + 9 + 25). The formula tells you to find the sum of those numbers (which is 72) then subtract one from how many numbers there are, 5 - 1 = 4, and divide your sum by that number. So 72 / 4 = 18. Then you find the square root of 18 and that becomes your answer.
Answer:
e. 4
Explanation:
The code segment will not work as intended if the value of the variable val is 4. This is because the while loop is comparing the value of the variable val to the value of each element within the numList. Since there is no element that is bigger than or equal to the number 4, this means that if the variable val is given the value of 4 it will become an infinite loop. This would cause the program to crash and not work as intended.
Safety sensors in mining operations can generate up to 2,4 terabits (TB) of data every minute. Sensors in one smart-connected home can produce as much as 1 gigabyte (GB) of information a week.
Answer: B) conducting requirements structuring.
Explanation:
The Key physical database design decisions usually include: deciding on the storage format as well as physical storage that makes access to database more efficient, design practices which aid quick retrieval, and attributes grouping into physical records. So the following are key design decisions but conducting requirements structuring is not.
A) choosing the storage format for each attribute from the logical database model.
C) arranging related records in secondary memory so that individual and groups of records can be stored, retrieved, and updated rapidly.
D) selecting media and structures for storing data to make access more efficient.
E) grouping attributes from the logical database model into physical records
