Answer:
B) The sky began to darken and rumble.
Explanation:
B) The sky began to darken and rumble.
It seems they have arranged it big. Hence, the money is not a problem. Any number of people can be invited,
The problem was certainly that the rain was about to come as sky turned dark and rumble. And hence, this answer as its what created tension.
The command is : <span>rm [Aa]*[Zz] </span>
Answer:
a source and a target.
Explanation:
In computer science and information theory, data differencing or differential compression is producing a technical description of the difference between two sets of data – a source and a target.
Answer:
Essentially additive editing and stringing “the good stuff” together, whereas subtractive is more about stringing all your raw footage together and “removing the bad stuff”
Additive editing feels confident and concerned with the pursuit of a specific, existing vision. And it’s faster. Subtractive editing feels like a deeper listening to what the footage is saying, and holding on to many potential permutations.
Explanation:
Addictive editing - creating a program from raw footage by starting by starting with nothing and adding selected components
Subtraction editing - creating a program by removing redundant or poor quality material from the original footage
Answer:
The probability that among three randomly selected Internet users, at least one is more careful about personal information when using a public Wi-Fi hotspot is 0.964
If the survey subjects <em>volunteered</em> to respond , then those with the strongest opinions are most likely respond. The survey sample is then not randomly selected, the survey may have a <em>response bias.</em>
Explanation:
Let P(at least one is more careful about personal information when using a public Wi-Fi hotspot) denote the probability that among three randomly selected Internet users, at least one is more careful about personal information when using a public Wi-Fi hotspot, then we have the equation
P(at least one is more careful about personal information when using a public Wi-Fi hotspot) = 1 - P(none of the selected users is more careful about personal information when using a public Wi-Fi hotspot)
- If 67% of Internet users are more careful about personal information when using a public Wi-Fi, then 33% of them are not.
P(none of the selected users is more careful about personal information when using a public Wi-Fi hotspot) =
≈ 0.036
P(at least one is more careful about personal information when using a public Wi-Fi hotspot) = 1 - 0.036 = 0.964