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FrozenT [24]
4 years ago
6

BRAINLIEST for the CORRECT answer!

Mathematics
1 answer:
Gelneren [198K]4 years ago
3 0

Heya!

I think the answer could be (c)

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Subject is Trigonometry. Solve for X.
Wewaii [24]

Answer:

16.3°

Step-by-step explanation:

Cos x = adjacent side/hypotenuse

         = 24/25

x = arccos (24/25) = 16.3°

You must memorize the definitions of the trig functions and then this type of problem is easy.  OK?

6 0
3 years ago
What is the value of x?<br> +0<br> 93.50<br> D<br> Drawing not to scale
pishuonlain [190]

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Step-by-step explanation:

1+093.5 =94.5

4 0
3 years ago
У = 2х + 1<br><br> Slope<br><br> Y-int
musickatia [10]
Y = mx + b

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3 years ago
The numbers of rooms for 15 homes recently sold were: 8, 8, 8, 5, 9, 8, 7, 6, 6, 7, 7, 7, 7, 9, 9. what is the sample standard d
Artyom0805 [142]
From the data set given:
<span>8, 8, 8, 5, 9, 8, 7, 6, 6, 7, 7, 7, 7, 9, 9
to get the standard deviation we use the formula for variance given by:
</span>σ²=[Σ(x-μ)²]/(n-1)
σ² is the variance
μ is the mean
The mean of the data will be:
μ=(8+8+8+5+9+8+7+6+6+7+7+7+7+9+9)/15=7.4
The variance will be found as follows:
σ²=[(8-7.4)²×4+(5-7.4)²+3×(9-7.4)²+5×(7-7.4)²+2×(6-7.4)²]/(15-1)
σ²=1.4
thus
σ=√1.4=1.1183





7 0
3 years ago
Read 2 more answers
Rolling a fair Eight-sided die produces a uniformly distributed set of numbers between 1 and 8 with a mean of 4.5 and a standard
kvv77 [185]

Answer:

a. The mean is 4.5 and the standard deviation is 0.3818.

b. 4.5

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 4.5 and a standard deviation of 2.291.

This means that \mu = 4.5, \sigma = 2.291

a. Find the mean and the standard deviation of the resulting distribution of sample means for n=36.

By the Central Limit Theorem, the mean is 4.5 and the standard deviation is s = \frac{2.291}{\sqrt{36}} = 0.3818

The mean is 4.5 and the standard deviation is 0.3818.

b. The mean of the resulting distribution of the sample means is:________

By the Central Limit Theorem, 4.5.

4 0
3 years ago
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