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Readme [11.4K]
3 years ago
14

0.4 divided by -5/8 or -5/8xN=0.4 BUT LOOKING FOR N

Mathematics
1 answer:
irga5000 [103]3 years ago
7 0

Answer:

-0.64

Step-by-step explanation:

0.4 ÷ (-\frac{5}{8}) = N

0.4 * -\frac{8}{5} = N

N = -0.64

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Write a description of how a diagram can help you solve 2×40
nasty-shy [4]

Let me explain like this .Suppose There are 40 people gathered somewhere for attending an event.Each Person has to be given 2 sweets for their arrival or for showing their presence in the event. Now 40 other woman joined them..Instead of getting two sweets each of them got one sweet.

Solution:   2 sweets × 40 people = 1 sweet × 80 people = 80  

2nd Way:

There are 40 rooms in a building.In  Each room we have to fix two bulbs. So How many bulbs are there in the building.

Solution →→→2 bulbs × 40 room = 80 bulbs

Diagram is depicted below for two parts.

4 0
3 years ago
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An object is dropped from a height of 400 feet. The amount of time, in seconds, the object takes to hit the ground can be found
lidiya [134]

-16t^2+400=0

16t^2=400

take square root on both sides.

\sqrt{16t^2} =\sqrt{400}

4t=20

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6 0
3 years ago
Is (8,8) a solution to the equation y=x?​
Nookie1986 [14]

Answer:

Yes

Step-by-step explanation:

(8,8) is a solution is y=x.

If we substitute the point into the equation, the equation is true.

(8,8) is in (x,y) format

Substitute:

y=x

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3 years ago
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Can someone help me with this ASAP!!! And show the work plsss!
cupoosta [38]

Answer:

as soon as possible

Step-by-step explanation:

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5 0
3 years ago
A sample is selected from a population with μ = 46, and a treatment is administered to the sample. After treatment, the sample m
Georgia [21]

Answer:

0.5

Step-by-step explanation:

Solution:-

- The sample mean before treatment, μ1 = 46  

- The sample mean  after treatment, μ2 = 48

- The sample standard deviation σ = √16 = 4

- For the independent samples T-test, Cohen's d is determined by calculating the mean difference between your two groups, and then dividing the result by the pooled standard deviation.

                           Cohen's d = \frac{u2 - u1}{sd_p_o_o_l_e_d}

- Where, the pooled standard deviation (sd_pooled) is calculated using the formula:

                          sd_p_o_o_l_e_d =\sqrt{\frac{SD_1^2 +SD_2^2}{2} }

- Assuming that population standard deviation and sample standard deviation are same:

                          SD_1 = SD_2 =  σ = 4

- Then,

                           sd_p_o_o_l_e_d =\sqrt{\frac{4^2 +4^2}{2} } = 4

- The cohen's d can now be evaliated:

                          Cohen's d = \frac{48 - 46}{4} = 0.5

6 0
3 years ago
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