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dusya [7]
3 years ago
14

How did the Germanic tribes contribute to the decline of the Western Roman Empire? Write your answer in a paragraph of 125 words

. bs answers WILL be reported and points will be taken back please don't answer if you're not serious about this
Mathematics
1 answer:
ololo11 [35]3 years ago
5 0

Answer: Invasions by Barbarian tribes

The most straightforward theory for Western Rome's collapse pins the fall on a string of military losses sustained against outside forces. Rome had tangled with Germanic tribes for centuries, but by the 300s “barbarian” groups like the Goths had encroached beyond the Empire's borders

Step-by-step explanation:

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8/v + 9/x=y Solve for v​
Andreas93 [3]

The answer is v= -8x/-xy+9

Here is the step by step process (This is going to be long):

1.  9v+8x=vxy

Multiply both sides by vx

2.  9v+8x+−vxy=vxy+−vxy

−vxy+9v+8x=0

Add -vxy to both sides

3.  −vxy+9v+8x+−8x=0+−8x

−vxy+9v=−8x

Add -8x to both sides

4.  v(−xy+9)=−8x

Factor out the variable v

5.  v(-xy+9)/-xy+9 = -8x/-xy+9

v = -8x/-xy+9

Divide both sides by -xy+9

4 0
3 years ago
What is the average amount of milk used for an order of pancakes
Marta_Voda [28]

Answer:

a 4th of a cup maybe

Step-by-step explanation:

8 0
3 years ago
A jar of peanut butter contains 454 g with a standard deviation of 10.2 g. Find the probability that a jar contains more than 46
Fofino [41]

Answer:

The probability that a jar contains more than 466 g is 0.119.

Step-by-step explanation:

We are given that a jar of peanut butter contains a mean of 454 g with a standard deviation of 10.2 g.

Let X = <u><em>Amount of peanut butter in a jar</em></u>

The z-score probability distribution for the normal distribution is given by;

                                Z  =  \frac{X-\mu}{\sigma}  ~ N(0,1)

where, \mu = population mean = 454 g

           \sigma = standard deviation = 10.2 g

So, X ~ Normal(\mu=454 , \sigma^{2} = 10.2^{2})

Now, the probability that a jar contains more than 466 g is given by = P(X > 466 g)

            P(X > 466 g) = P( \frac{X-\mu}{\sigma} > \frac{466-454}{10.2} ) = P(Z > 1.18) = 1 - P(Z \leq 1.18)

                                                                  = 1 - 0.881 = <u>0.119</u>

The above probability is calculated by looking at the value of x = 1.18 in the z table which has an area of 0.881.

4 0
3 years ago
Simplify the expression given below.
Nikitich [7]
I don’t see a expression...
4 0
3 years ago
Please answer correctly! I will mark you Brainliest!
weeeeeb [17]

Answer:

4.1 inches

<u>I would appreciate Brainliest, but no worries.</u>

4 0
3 years ago
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