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ruslelena [56]
3 years ago
8

Ok i dont wanna get bannddddddd so i have to ask a qustion 2 plus 2

Computers and Technology
2 answers:
Montano1993 [528]3 years ago
8 0

Answer:

4

Explanation:

Evgesh-ka [11]3 years ago
3 0

Answer:

22 or 4

Explanation:

:)

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Which of the following is an example of a Boolean operator?
miv72 [106K]

Answer:

C. But

Explanation:

Boolean operators are the operators that may have only two outputs which are True/False, On/Off and 1/0.

"But" can also be the example of Boolean operator. It is used in the meaning of "except" or "other than".

In Boolean operators "But" can be used as "AND" operator.

for example

<em>I am busy but I will go.</em>

In above example but is used as and which is combining two oposite statements. as

I am busy  and I will go.

Both statement oppose each other, so to make sense in English "But" is used.

7 0
3 years ago
6. When working with a file,
likoan [24]

Answer:

When working with a file, <u>stabilize</u> the blade in a vis or against a solid surface such as a work bench to avoid injury and to ensure an even stroke

Explanation:

The file can be used to sharpen a blade to increase the effectiveness of the blade. In order to properly sharpen a file in a safe manner, the blades to be sharpen, which ae usually relatively flexible as compared to the file, should be  made stable during the repetitive forward and backward notion of the file, for safety, to avoid being injured by the recoil of the blade, and also to ensure that the stroke is evenly applied to the blade.

4 0
3 years ago
Fifty-three percent of U.S households have a personal computer. In a random sample of 250 households, what is the probability th
aleksley [76]

Answer:

The correct Answer is 0.0571

Explanation:

53% of U.S. households have a PCs.

So, P(Having personal computer) = p = 0.53

Sample size(n) = 250

np(1-p) = 250 * 0.53 * (1 - 0.53) = 62.275 > 10

So, we can just estimate binomial distribution to normal distribution

Mean of proportion(p) = 0.53

Standard error of proportion(SE) =  \sqrt{\frac{p(1-p)}{n} } = \sqrt{\frac{0.53(1-0.53)}{250} } = 0.0316

For x = 120, sample proportion(p) = \frac{x}{n} = \frac{120}{250} = 0.48

So, likelihood that fewer than 120 have a PC

= P(x < 120)

= P(  p^​  < 0.48 )

= P(z < \frac{0.48-0.53}{0.0316}​)      (z=\frac{p^-p}{SE}​)  

= P(z < -1.58)

= 0.0571      ( From normal table )

6 0
3 years ago
Explain why you will not do these things when driving.<br><br>yall got one more time to delete it
sesenic [268]
Don't text and drive you could crash
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How do i cancel my brainly premium account?
Vikki [24]

Answer:

press cancel

Explanation:

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