Which is the equation of a line that has a slope of į and passes through point (2, -3)?

Simplify the following expression. 2x^5+3x^3-5x^2+7x+1+7x^5-3x^3-4

alisha [4.7K]

Answer:

9x^5−5x^2+7x−3

Step-by-step explanation:

2x5+3x3+−5x2+7x+1+7x5+−3x3+−4

(2x5+7x5)+(3x3+−3x3)+(−5x2)+(7x)+(1+−4)

9x^5+−5x^2+7x+−3

3 0

3 years ago

Question 5

Tcecarenko [31]

Answer:

The COP is 0.5

Step-by-step explanation:

First we must find the slopes.

12.50/25 = 0.5

17.50/35 = 0.5

The COP is 0.5

8 0

3 years ago

Please explain 22 and 23

ICE Princess25 [194]

Hey there!

$\bold{Mean\rightarrow your \ average}$
$\bold{The\ word \ 'average' \ means \rightarrow}$ $\bold{is \ where \ you \ add \ up \ your \ particular \ numbers \ \& you}$ $\bold{divde \ your \ result \ by \ the \ number!}$

$\bold{22.\downarrow}$

If we're rounding the answer then: $\boxed{\bold{answer:90}}$ $\checkmark$

$\bold{23.\downarrow}$

Another name for the word is "range" so, $\boxed{\bold{answer:11}}$ $\checkmark$

Good luck on your assignment and enjoy your day!

~ $\frak{LoveYourselfFirst:)}$

5 0

3 years ago

-5-(-2) please help<br>A -30 <br>B30 <br>C-1<br>D1

Alekssandra [29.7K]

Answer:

Step-by-step explanation:

-3

7 0

3 years ago

Read 2 more answers

A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the

Orlov [11]

Answer:

95.44% probability that the sample proportion will differ from the population proportion by less than 0.03.

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$