How do you tell whether the percent of a number will be greater than, less than, or equal too the number

1 answer:

8 0

If the tens are greater for one number then that number will be greater. Parent Note: ... The tens are equal so we need to compare the ones.

You might be interested in

At Emily's summer camp, there are

Stells [14]

Answer:

Step-by-step explanation:

3 counselors for every 20 girls

6 0

2 years ago

Read 2 more answers

A line passes through the point (-7, 5) and has a sloe of 1/2. Which is another point that the line passes through?

Mekhanik [1.2K]

The point through which the same line is passing will be (9,13) so option (C) will be correct.

<h3>What is a line segment?</h3>

A line section that can connect two places is referred to as a segment.

A line segment is just part of a big line that is straight and going unlimited in both directions.

The line is here! It extends endlessly in both directions and has no beginning or conclusion.

The equation of any line with slope m can be given as

y = mx + c

Given,

slope m = 1/2

Point of passing (-7, 5)

So,

5 = -7/2 + c ⇒ c = 17/2

So the equation will be,

y = x/2 + 17/2

2y = x + 17

Now checking all points (9,13) is satisfying.

2(13) = 9 + 17

26 = 26

Hence point (9,13) is passing through the line.

For more about line segment

brainly.com/question/25727583

#SPJ1

7 0

1 year ago

The ampitude/frequency/period of y=1/4cos1/2x is 4 pie

Fantom [35]

Amplitude: 1/4 (= |a|)
Frequency: 1/2 (= |b|)
Period: 4pi (= 2pi/|b|)

7 0

3 years ago

The time that a randomly selected individual waits for an elevator in an office building has a uniform distribution over the int

rewona [7]

Answer:

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .