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krok68 [10]
3 years ago
11

Can someone help me plz need this done by tmrw

Mathematics
1 answer:
iren2701 [21]3 years ago
5 0

Answer:

X= -2

Step-by-step explanation:

herp derp herp derp

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7b<br> Evaluate when b= -1<br> b-3
tiny-mole [99]

Answer:

b-3

-1-3

-4

is the correct answer

5 0
3 years ago
Find the fifth roots of 243(cos 240° + i sin 240°).
Mazyrski [523]

Answer:

See below.

Step-by-step explanation:

Fifth root of 243 = 3,

Suppose r( cos Ф + i sinФ) is the fifth root of 243(cos 240 + i sin 240),

then r^5( cos  Ф  + i sin  Ф )^5 = 243(cos 240 + i sin 240).

Equating equal parts and using de Moivre's theorem:

r^5 =243  and  cos  5Ф  + i sin  5Ф = cos 240 + i sin 240

r = 3 and  5Ф = 240 +360p so Ф =  48 + 72p

So Ф = 48, 120, 192, 264, 336  for   48 ≤ Ф < 360

So there are 5 distinct solutions given by:

3(cos 48 + i sin 48),

3(cos 120 + i sin 120),

3(cos 192 + i sin 192),

3(cos 264 + i sin 264),

3(cos 336 + i sin 336).. (Answer).

7 0
3 years ago
A water balloon is tossed into the air with an upward velocity of 25 ft/s. Its height h(t) in ft after t seconds is given by the
sammy [17]
19. The balloon hits the ground means -16t2+25t+3=0
After you solve the equation, there are 2 solution ~1.67 or ~-0.11 (the time can not be negative) so the solution is 1.67s
20.substitute t=1 to the function -16(1)2+25(1)+3=-16+25+3=12 ft. So the height is 12ft when t=1
7 0
3 years ago
Read 2 more answers
The weights of certain machine components are normally distributed with a mean of 5.19 ounces and a standard deviation of 0.05 o
Brums [2.3K]

Answer:

The  weight that separate the top 8% by 5.2605 and the weight that separate bottom 8% by 5.1195.

Step-by-step explanation:

We are given that

Mean,\mu=5.19

Standard deviation,\sigma=0.05

We have to find the two weights that separate the top 8% and the bottom 8%.

Let x1 and x2 the two weights that separate the top 8% and the bottom 8%.

Z-value for p-value =0.08 =-1.41

For 8% bottom

Z=\frac{x_1-\mu}{\sigma}=-1.41

\frac{x_1-5.19}{0.05}=-1.41

x_1-5.19=-1.41\times 0.05

x_1=-1.41\times 0.05+5.19

x_1=5.1195

For 8% top

p-Value=1-0.08=0.92

Z- value=1.41

Now,

\frac{x_2-5.19}{0.05}=1.41

x_2-5.19=1.41\times 0.05

x_2=1.41\times 0.05+5.19

x_2=5.2605

(x1,x2)=(5.1195,5.2605)

4 0
3 years ago
Consider the probability that at least 88 out of 158 software users will not call technical support. Assume the probability that
Nookie1986 [14]

Answer:

E(X) = 158*0.57 =90.06

And the standard deviation for the random variable is given by:

\sigma= \sqrt{158*0.57*(1-0.57)} = 6.223

And the distribution for the approximation is given by:

X \sim N (\mu = 90.06, \sigma = 6.223)

We can use the z score formula given by:

z = \frac{x -\mu}{\sigma}

And using the complement rule we got:

P(X \geq 88) = 1-P(X

And using the standard normal table we got:

P(X \geq 88) = 1-P(X

Step-by-step explanation:

Previous concepts  

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Solution to the problem

Let X the random variable of interest, on this case we now that:  

X \sim Bin (n = 158, p =0.57)

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

We want this probability:

P(X\geq 88)

Normal approximation

We need to check if we can use the normal approximation , the conditions are:

np =158*0.57 = 90.06>10

n(1-p) = 158*(1-0.57) = 67.94>10

Since we satisfy both conditions the normal approximation makes sense

The expected value is given by this formula:

E(X) = 158*0.57 =90.06

And the standard deviation for the random variable is given by:

\sigma= \sqrt{158*0.57*(1-0.57)} = 6.223

And the distribution for the approximation is given by:

X \sim N (\mu = 90.06, \sigma = 6.223)

We can use the z score formula given by:

z = \frac{x -\mu}{\sigma}

And using the complement rule we got:

P(X \geq 88) = 1-P(X

And using the standard normal table we got:

P(X \geq 88) = 1-P(X

4 0
3 years ago
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