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3 years ago

Factor out the GCF and factor completely. 9m3 - 16m

Mathematics

1 answer:

nexus9112 [7]3 years ago

5 0

Answer:

Option A m(3m + 4)(3m - 4)

Step-by-step explanation:

we have

$9m^{3}-16m$

Factor m

$m[9m^{2}-16]$

Apply difference of squares

we know that

$[9m^{2}-16]=(3m+4)(3m-4)$

substitute

$m[9m^{2}-16]=m(3m+4)(3m-4)$

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natali 33 [55]

3/5 + 5/7 = 1 11/35 - 1/5 = 1 4/35 which is your final answer.

7 0

3 years ago

Read 2 more answers

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erma4kov [3.2K]

Answer:

The car loses $5,635 every year. Multiply 24,500 by 23% (0.23)

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3 years ago

What is the volume of the figure below, in cubic centimeters? 756 936 1008 1080

irina1246 [14]

936 I think is the best answer

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4 years ago

Daniella has a baking pan shaped like a rectangular prism. It measures 16 inches wide and 3.75 inches high. If the volume of Dan

saveliy_v [14]

Answer:

Length of prism = 17.5 in

Step-by-step explanation:

Given:

Width = 16 in

Height = = 3.75 in

Volume of rectangular prism = 1,050 inches

Find:

Length of prism

Computation:

Volume of rectangular prism = WHL

1,050 = Length of prism × 16 × 3.75

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4 0

3 years ago

1a. [1 mark] The price per kilogram of tomatoes, in euros, sold in various markets in a city is found to be normally distributed

andrey2020 [161]

Answer:

The price that is two standard deviations above the mean price is 4.90.

Step-by-step explanation:

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.

Mean of 3.22 and a standard deviation of 0.84.

This means that $\mu = 3.22, \sigma = 0.84$