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lukranit [14]
3 years ago
8

TRIGONOMETRY PLEASE !!!

Mathematics
1 answer:
prohojiy [21]3 years ago
4 0

Answer:

45.6=x

Step-by-step explanation:

We can use law of cosines since three sides are given and we are asked to find an angle.

c^2=a^2+b^2-2ab\cos(C)

Angle C is the angle that is opposite to the side c.

So here x is our Angle C and the side opposite to that is 11 which makes it c for this formula.

This means a=8 and b=15 (or other way around-doesn't matter).

Let's plug in:

11^2=8^2+15^2-2(8)(15)\cos(x)

Simplify the terms with exponents:

121=64+225-2(8)(15)\cos(x)

Perform the multiplication next to the trig function:

121=64+225-240\cos(x)

Add 64 and 225:

121=289-240\cos(x)

Our goal is to isolate the trig function.

Subtract 289 on both sides:

121-289=-240\cos(x)

Simplify left hand side:

-168=-240\cos(x)

Divide both sides by -240:

\frac{-168}{-240}=\cos(x)

Simplify left hand side:

0.7=\cos(x)

Take cosine's inverse on both side:

\cos^{-1}(0.7)=x

Type left hand side into calculator:

45.6=x

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Rainbow [258]

Answer:

45 im not sure doe

Step-by-step explanation:

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3 years ago
The lengths of bolts in a batch are distributed normally with a mean of 3 cm and a standard
ValentinkaMS [17]

Answer:

0.8413 = 84.13% probability that a bolt has a length greater than 2.96 cm.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 3 cm and a standard deviation of 0.04 cm.

This means that \mu = 3, \sigma = 0.04

What is the probability that a bolt has a length greater than 2.96 cm?

This is 1 subtracted by the p-value of Z when X = 2.96. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{2.96 - 3}{0.04}

Z = -1

Z = -1 has a p-value of 0.1587.

1 - 0.1587 = 0.8413

0.8413 = 84.13% probability that a bolt has a length greater than 2.96 cm.

3 0
2 years ago
80 POINTS!!! WILL VENMO $5
Hunter-Best [27]

Answer:

WAKA WAKA AFRICAAAA AFRIKA BAM BAM MAMAMAMAMAMAMAMAMAM.A.

So did I get them 5 bucks?

4 0
2 years ago
The qestion is the picture ​
lianna [129]

Answer:

-2/9

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
In a mid-size company, the distribution of the number of phone calls answered each day by each of the 12 receptionists is bell-s
Radda [10]

Answer:

68%

Step-by-step explanation:

The Standard Deviation Rule = Empirical rule formula states that:

68% of data falls within 1 standard deviation from the mean - that means between μ - σ and μ + σ.

95% of data falls within 2 standard deviations from the mean - between μ – 2σ and μ + 2σ.

99.7% of data falls within 3 standard deviations from the mean - between μ - 3σ and μ + 3σ.

From the question,

Step 1

We have to find the number of Standard deviation from the mean. This is represented as x in the formula

μ = Mean = 61

σ = Standard Deviation = 8

For x = 53

μ - xσ

53 = 61 - 8x

8x = 61 - 53

8x = 8

x = 8/8

x = 1

For x = 69

μ + xσ

69 = 61 + 8x

8x = 69 - 61

8x = 8

x = 8/8

x = 1

This falls within 1 standard deviation of the mean where: 68% of data falls within 1 standard deviation from the mean - that means between μ - σ and μ + σ.

Therefore, according to the Standard Deviation Rule, the approximate percentage of daily phone calls numbering between 53 and 69 is 68%

3 0
2 years ago
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