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3 years ago

The Panthers football team gains 15 yards on the first play of a football game, then it loses 15 yards on the second play.

Mathematics

2 answers:

Alexandra [31]3 years ago

8 0

I think its B aswell

lyudmila [28]3 years ago

3 0

Answer: B

Step-by-step explanation: I feel like it's b but it is too easy

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AnnZ [28]

Answer:

2b. 3(2-x)

2c. add the 5x-10

5(x-2)

3.its suppose to be 12x+3=3(4x+1)

3(4x+1)=12x+3

Step-by-step explanation:

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3 years ago

If you have 54 blue marbles and 99 yellow marbles, what is the greatest number of identical marble bags that can be made without

Alex Ar [27]

Answer:

54,99

Step-by-step explanation:

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3 years ago

Read 2 more answers

PLEASE ANSWER IN THE SCREENSHOT. I WILL MARK BRAINLYEST

Nimfa-mama [501]

Yes, the table is correct
There would be 60 squares as the ratio of triangles to squares is 3:4

6 0

3 years ago

Assume that f is continuous on [-4,4] and differentiable on (-4,4). The table gives some values of f'(x) x: -4, -3, -2, -1, 0, 1

kondaur [170]

$f$ will be increasing on the intervals where $f'(x)>0$ and decreasing wherever $f'(x)$ . Local extrema occur when $f'(x)=0$ and the sign of $f'(x)$ changes to either side of that point.

$f'(x)$ is positive when $x$ is between -4 and some number between -2 and -1, and also 2 (exclusive) and 4, so you can estimate that $f(x)$ is increasing on the intervals [-4, -2] and (2, 4].

$f'(x)$ is negative when $x$ is between some number between -2 and -1, up to some number less than 2. So $f(x)$ is decreasing on the interval [-1, 1].

You then have two possible cases for extrema occurring. The sign of $f'(x)$ changes for some $x$ between -2 and -1, and again to either side of $x=2$ .

4 0

3 years ago

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30 What score is necessary to reach

nlexa [21]

Answer:

A score of 150.25 is necessary to reach the 75th percentile.

Step-by-step explanation:

Problems of normal distributions can be 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.

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30.

This means that $\mu = 130, \sigma = 30$