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Sveta_85 [38]
2 years ago
15

Assume that theta is a positive acute angle.

Mathematics
1 answer:
muminat2 years ago
6 0

Answer:

Step-by-step explanation:sin

(

θ

)

=

40

41

Use the definition of sine to find the known sides of the unit circle right triangle. The quadrant determines the sign on each of the values.

sin

(

θ

)

=

opposite

hypotenuse

Find the adjacent side of the unit circle triangle. Since the hypotenuse and opposite sides are known, use the Pythagorean theorem to find the remaining side.

Adjacent

=

√

hypotenuse

2

−

opposite

2

Replace the known values in the equation.

Adjacent

=

√

(

41

)

2

−

(

40

)

2

Simplify

√

(

41

)

2

−

(

40

)

2

.

Tap for more steps...

Adjacent

=

9

Find the value of cosine.

Tap for more steps...

cos

(

θ

)

=

9

41

Find the value of tangent.

Tap for more steps...

tan

(

θ

)

=

40

9

Find the value of cotangent.

Tap for more steps...

cot

(

θ

)

=

9

40

Find the value of secant.

Tap for more steps...

sec

(

θ

)

=

41

9

Find the value of cosecant.

Tap for more steps...

csc

(

θ

)

=

41

40

This is the solution to each trig value.

sin

(

θ

)

=

40

41

cos

(

θ

)

=

9

41

tan

(

θ

)

=

40

9

cot

(

θ

)

=

9

40

sec

(

θ

)

=

41

9

csc

(

θ

)

=

41

40

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Help me please :)
kvasek [131]

Answer:

<u>13</u>

<em>Explanation:</em>

11×2-9=13

Since he spent half of his allowance on the movies and he had 11 left, you would multiply 11 x 2. Next, subtract 9 because that is not part of his allowance. You will end out with <u>13.</u>

6 0
3 years ago
Find the 95% confidence interval for estimating the population mean μ
AVprozaik [17]

We first need to determine whether we are dealing with means or proportions in this problem. Since we are given the sample and population mean, we know that we are dealing with means.

Since we have one sample mean, this means we are creating a confidence interval for one sample (1 Samp T Int).

Normally we would check for conditions, but since this is not formulated as a "real-world scenario" type problem, it is hard to check for randomness and independence. Therefore, I will be excluding conditions from this answer.

<h3>Confidence Interval Formula</h3>

The formula for constructing a <u>confidence interval for means</u> is as follows:

  • \displaystyle \overline{x} \pm t^*\big{(}\frac{\sigma}{\sqrt{n} } \big{)}

We are given these variables:

  • \overline{x}=50
  • n=60
  • \sigma=10

Plug these values into the formula for the confidence interval:

  • \displaystyle 50\pm t^* \big{(}\frac{10}{\sqrt{60} } \big{)}

<h3>Finding the Critical Value (t*)</h3>

In order to find t*, we can use this formula:

  • \displaystyle \frac{1-C}{2}=A

Calculating the z-score associated with "A" will give us t*.

So, let's plug in the confidence interval 95% (.95) into the formula:

  • \displaystyle \frac{1-.95}{2}=.025

Use your calculator or a t-table to find the z-score associated with this area under the curve.. you should get:

  • t^*=1.96

<h3>Constructing Confidence Interval</h3>

Now, let's finish the confidence interval we created:

  • \displaystyle 50\pm 1.96 \big{(}\frac{10}{\sqrt{60} } \big{)}

We can calculate the confidence interval, using this formula, to be:

  • \boxed{(47.4697, \ 52.5303)}

<h3>Interpreting the Confidence Interval</h3>

We are 95% confident that the true population mean μ lies between <u>47.4697 and 52.5303</u>.

8 0
2 years ago
How do you know that the decimal 2\11 repeats without end?
seropon [69]

It doesn't, it ends after 32 digits after 0.

5 0
3 years ago
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diamong [38]
The first choice !!!
8 0
3 years ago
Read 2 more answers
A factory that manufactures bolts is performing a quality control experiment. Each object should have a length of no more than c
disa [49]

Answer:

There is sufficient evidence. A further explanation is provided below.

Step-by-step explanation:

According to the question,

The alternative as well as null hypothesis will be:

H_0:\mu = 16

H_a:\mu>16

The test statistics will be:

⇒ z = \frac{\frac{\bar x - \mu}{\sigma} }{\sqrt{n} }

By putting the values, we get

⇒    =\frac{\frac{16.06-16}{0.24} }{\sqrt{96} }

⇒    =\frac{\frac{0.06}{0.24} }{\sqrt{96} }

⇒    =2.45

Or,

The p-value will be:

= 0.0071

i.e.,

⇒ p-value< \alpha

Thus the above is the correct answer.

6 0
3 years ago
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