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Snezhnost [94]
3 years ago
15

What's the value of 280?

Mathematics
2 answers:
aivan3 [116]3 years ago
6 0

Answer:

280^0 is 1

Step-by-step explanation:

with exponents u have to multiply the base (280) by whatever the exponent is (0), but since the exponent is 0, use multiplicative identity to get 1. any number to ^0 is 1 because its the same as the product on no number at all (0)

its really confusing but i tried my best to explain it lol T-T

Roman55 [17]3 years ago
3 0

Answer:

28⁰ = 1

Step-by-step explanation:

If you raise a number to the power of zero, it becomes 1, regardless of the number.  The only exception is 0⁰, which is undefined.  Any other value to the power of zero equals one.

The easiest way to see it is like this:

Pick any value, we'll call it x

x⁴ = x⁵ / x

x³ = x⁴ / x

x² = x³ / x

x¹ = x² / x

x⁰ = x¹ / x

Because x¹ is equal to x, then x⁰ is just x/x, which is always equal to 1, unless x is equal to zero.

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How many miles did Brian run?
VashaNatasha [74]

Answer:

5.28 miles

Step-by-step explanation:

he ran a total of 18 days. 95 miles dived by 18 days is 5.27 if you round it its 5.28

4 0
3 years ago
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Use synthetic substitution to find f (2) and f (-1) for the function.<br> f (x) = x3 – x2 – 2x + 3
kotegsom [21]

Answer:

f(2)=7

f(-1)=+1

Step-by-step explanation:

f (2)= 2³-2²+3 =8-4+3=7

f (-1)= (-1)³-(-1)²+3= -1- (+1) +3= -1-1+3=+1

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2 years ago
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime x (in weeks) has a gamma
elena-14-01-66 [18.8K]

Answer:

a) P(1 \leq X \leq 40)

In order to find this probability we can use excel with the following code:

=GAMMA.DIST(40;5,8,TRUE)-GAMMA.DIST(1,5,8,TRUE)

And we got:

P(1 \leq X \leq 40)=0.560

b) P(X \geq 40)=1-P(X

In order to find this probability we can use excel with the following code:

=1-GAMMA.DIST(40,5,8,TRUE)

And we got:

P(X \geq 40)=1-P(X

Step-by-step explanation:

Previous concepts

The Gamma distribution "is a continuous, positive-only, unimodal distribution that encodes the time required for \alpha events to occur in a Poisson process with mean arrival time of \beta"

Solution to the problem

Let X the random variable that represent the lifetime for transistors

For this case we have the mean and the variance given. And we have defined the mean and variance like this:

\mu = 40 = \alpha \beta  (1)

\sigma^2 =320= \alpha \beta^2  (2)

From this we can solve \alpha and [/tex]\beta[/tex]

From the condition (1) we can solve for \alpha and we got:

\alpha= \frac{40}{\beta}    (3)

And if we replace condition (3) into (2) we got:

320= \frac{40}{\beta} \beta^2 = 40 \beta

And solving for \beta = 8

And now we can use condition (3) to find \alpha

\alpha=\frac{40}{8}=5

So then we have the parameters for the Gamma distribution. On this case X \sim Gamma (\alpha= 5, \beta=8)

Part a

For this case we want this probability:

P(1 \leq X \leq 40)

In order to find this probability we can use excel with the following code:

=GAMMA.DIST(40;5,8,TRUE)-GAMMA.DIST(1,5,8,TRUE)

And we got:

P(1 \leq X \leq 40)=0.560

Part b

For this case we want this probability:

P(X \geq 40)=1-P(X

In order to find this probability we can use excel with the following code:

=1-GAMMA.DIST(40,5,8,TRUE)

And we got:

P(X \geq 40)=1-P(X

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3 years ago
What is your favorit food
Oduvanchick [21]

Answer:

salmon and mashed potatoes

Step-by-step explanation:

yum

5 0
2 years ago
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in one baseball season, Peter hit twice the difference of the number of homeruns Alice hit and 6. Altogether, they hit 18 home r
Ne4ueva [31]
Peter hit 12 home runs because 18 - 6 = 12
7 0
3 years ago
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