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2 years ago

0.59 divided by 2.419

2 answers:

6 0

If you mean .59 divided by 2.419 then: 0.24390243902
If you meant 2.419 divided by .59 then: 4.1
Just remember there are two ways to divide: keep change reciprocate(flip the denomintator and numerator) or long divison !

storchak [24]2 years ago

4 0

The answer is 0.24390244

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Solve for x with a step by step explanation please (3/5)x+1/4=(3/4)x-2/5

11111nata11111 [884]

Answer:

$\frac{3 \times 4}{5 \times 4} x - \frac{3 \times 5}{4 \times 5} x = - \frac{2 \times 4}{5 \times 4} - \frac{1 \times 4}{5 \times 4}$

$\frac{12x - 15x}{20} = \frac{ - 8 - 4}{20}$

/·20

12x-15x = -8-4

-3x= -12. /·(-1)

3x=12

x=4

Step-by-step explanation:

$\frac{3}{5} x - \frac{3}{4} x = - \frac{2}{5} - \frac{1}{4}$

7 0

3 years ago

8ab -16c - a^2 A=3 B=4 C=5

Rainbow [258]

8(3)(4) = 96
96-16(5)= 16
16- 3^2 = 9.
9

5 0

3 years ago

HELP PLEASEE AND ANSWER MY OTHER QUESTIONS ASAP 5. Jesse rotated the triangle 90° clockwise about the origin to create figure

Molodets [167]

Answer:

its b cus hit dat hommie

Step-by-step explanation:

6 0

3 years ago

Please help me with the question. Will mark brainliest.

Inessa05 [86]

Step-by-step explanation:

A.) Ok, so the mean price for Southtown is 72,800.

And the mean price for middle town is 54,900

So Southtown has the higher mean price.

Explanation:

To find the mean. You must first add up all the numbers, then divide the total by how many numbers you added up.

72,000 + 50,000 + 68,000 + 93,000 + 81,000 = 364,000

Then,

364,000/ 5 = 72,800

B.) It is 17,900

Explanation:

72,800 - 54,900 = 17,900

Hope this helps you out!!! : )

6 0

2 years ago

In an experiment, some diseased mice were randomly divided into two groups. One group was given an experimental drug, and one wa

damaskus [11]

Answer:

D)Yes, because the difference in the means in the actual experiment was more than two standard deviations from 0.

Step-by-step explanation:

We will test the hypothesis on the difference between means.

We have a sample 1 with mean M1=18.2 (drug group) and a sample 2 with mean M2=15.9 (no-drug group).

Then, the difference between means is:

$M_d=M_1-M_2=18.2-15.9=2.3$

If the standard deviation of the differences of the sample means of the two groups was 1.1 days, the t-statistic can be calculated as:

$t=\dfrac{M_d-(\mu_1-\mu_2)}{s_{M_d}}=\dfrac{2.3-(0)}{1.1}=2.09$

The critical value for a two tailed test with confidence of 95% (level of significance of 0.05) is t=z=1.96, assuming a large sample.

This is approximately 2 standards deviation (z=2).

The test statistict=2.09 is bigger than the critical value and lies in the rejection region, so the effect is significant. The null hypothesis would be rejected: the difference between means is significant.

4 0

3 years ago