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3 years ago

Help i don't know what to do I will give brainiest

Mathematics

2 answers:

blagie [28]3 years ago

6 0

Answer:

it will be always negative

Step-by-step explanation:

brainliest please

kupik [55]3 years ago

4 0

Answer:

The aswere is the last option

Step-by-step explanation:

Its always the grater value (exept for Muliplying and dividing).

Example: -3+4= 1 or -4+3= -1

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What is the perimeter of the figure shown below?

tia_tia [17]

Answer:

D. 6x-14

Step-by-step explanation:

So first we would do 3x^2+3x^2-5x^2

That would all cancel out so that would be 0.

Next we would do 3x-4x+7x, this would equal to 6x

Finally we would do -4-8-2, this would be equal to -14

Then the equation would be 6x-14

All you have to do is combine like terms.

Hope this helped!

5 0

3 years ago

Find an explicit rule for the nth term of the sequence.

otez555 [7]

This is a GS with first term -5 and common ratio = 5.
an = a1. r^(n -1)
= -5 . 5^(n - 1)

Its D

4 0

3 years ago

Let x represent the measure of angle ACD, and let y represent the measure of angle BCF.

Liono4ka [1.6K]

We know that
in the triangle ACB
∠ACB+90+34=180-----> ∠ACB=180-(90+34)----> ∠ACB=56°
∠ACD and ∠ACB-----> are supplementary angles
so
∠ACD+∠ACB=180-----> ∠ACD=180-56----> 124°------> x=124°

the answer Part 1) is x=124°

Part 2)
∠ACB+∠BCF+80=180-----> ∠BCF=180-(∠ACB+80)---> 180-(56+80)
∠BCF=180-136----> 44°-----> y=44°

the answer Part 2) is y=44°

5 0

3 years ago

Suppose that the walking step lengths of adult males are normally distributed with a mean of 2.5 feet and a standard deviation o

Mumz [18]

Answer:

0% probability that the mean of the sample taken is less than 2.2 feet.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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.

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 $s = \frac{\sigma}{\sqrt{n}}$ .