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3 years ago

Please help me with this!!!!!

Mathematics

1 answer:

Rus_ich [418]3 years ago

3 0

The answer to the question

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Which of the following best describes the set of all numbers of the form a+bi where a and b are any real numbers and i equals sq

Andrei [34K]

<h3>Answer: B) Complex numbers</h3>

Complex numbers are always in the form a+bi with 'a' and 'b' as real numbers.

If b = 0 and 'a' is nonzero, then a+bi = a+0i = a which is strictly a real number

If a = 0 and b is nonzero, then a+bi = 0+bi = bi indicating that the number is now purely imaginary

6 0

3 years ago

Gabriel works at an amusement park. He loads 15 new passengers onto the roller coaster every 5/6 of a minute. At what rate does

dem82 [27]

Answer:

12 1/2 or 12.5

Step-by-step explanation:

all you have to do is multiply 15 times 5/6

4 0

3 years ago

A squirrel ran 9 miles in 1 hour. Which expression can be used to determine its speed in miles per hour?

a_sh-v [17]

Answer:

9 mile/ 1 hour

Step-by-step explanation:

Because the squirrel ran 9 miles in 1 hour, so u have to divide 9 miles by 1 hour.

8 0

3 years ago

Read 2 more answers

Which of the following is equal to the rational expression when x -2 or -1? x^2-4/(x+2)(x+1)

Orlov [11]

Answer:

(x+2)(x+1)

Step-by-step explanation:

Assuming im interpreting this correctly, it should be (x+2)(x+1), since if you plug in -2 and -1, it will give you 0, which is the answer.

8 0

3 years ago

A recent survey concluded that the proportion of american teenagers who have a cell phone is 0.27. the true population proportio

Jet001 [13]

Answer:

The mean for the sampling distribution of the sample proportion is 0.29

The standard deviation for the sampling distribution of the sample proportion is 0.01435

Step-by-step explanation:

The mean for the sampling distribution of the sample proportion is always equal to the true population proportion, in this case; p = 0.29

The standard deviation for the sampling distribution of the sample proportion is calculated as;

$\sqrt{\frac{p(1-p)}{n} }$

Using the given values;

p = 0.29

1 - p = 0.71

n = 1000

The standard deviation becomes;

$\sqrt{\frac{(0.29)(1-0.29)}{1000} } \\$

The s.d becomes 0.01435

4 0

3 years ago