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3 years ago

Help!!

Mathematics

1 answer:

Blababa [14]3 years ago

5 0

Answer:

coefficient for k: -2

constant term?: -5

degree of the polynomial: 2

Step-by-step explanation:

The coefficient for k is the number that multiplies k. In this case:

7kn+2k^2-2k-2n-5+5n^2

The constant term is the number that doesn't multiply any variable. In this case:

7kn+2k^2-2k-2n-5+5n^2

The degree of a polynomial is the highest of the degrees of the polynomial's monomials. In this case, the highest monomials are:

7kn+2k^2-2k-2n-5+5n^2

all of them second degree

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What is the length of this? plz answer correctly

Cerrena [4.2K]

Answer:

16 cm

Step-by-step explanation:

EFP is a right angle triangle

EP² = ED² + DP²

EP² = 24² + 10²

EP² = 676

EP = 26

EF = EP - FP

EF = 26 - 10 = 16

8 0

3 years ago

I need help within the next 15 mins

abruzzese [7]

Answer:30

Step-by-step explanation: LxW (length x Width) 3x10=30.... Hope this helps... if you break it down then you can write down (10) on your page but the answer is 30

3 0

3 years ago

Which function equation represents the table?

irina [24]

The answer is D. f(x) = 3x+2

This is because this is the ONLY function equation that works for ALL of the ordered pairs listed in the table

-4 = 3(-2) + 2
-4 = -6 +2
-4 = -4

-1 = 3(-1) +2
-1 = -3 +2
-1 = -1

2 = 3(0) + 2
2 = 0 + 2
2 = 2

5 = 3(1) + 2
5 = 3 + 2
5 = 5

8 = 3(2) +2
8 = 6 +2
8 = 8

4 0

3 years ago

The amount of time that a 4th grader reads comic books in a week is normally distributed with a mean of 6 hours and a standard d

KATRIN_1 [288]

Answer:

0.9544 = 95.44% probability that the sample mean time for reading comic books per week is between 5 and 7 hours.

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 normally distributed samples are solved using 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 $s = \frac{\sigma}{\sqrt{n}}$ .