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qaws [65]
2 years ago
13

"Question": Expand (2x-3y)^3 Real question: Why am I not ace rank yet?

Mathematics
2 answers:
Hitman42 [59]2 years ago
5 0

Answer: (6x-3y)3 or maybe not possible to do

Step-by-step explanation

multiply 3x2 and get 6. Multiply 3x3 and get 9.

Vladimir [108]2 years ago
4 0

Answer:

We use the above identity: (a+b) 3 =a 3 +3a 2 b+3ab 2 +b 3 . Take a=2x and b=3y and we get

(2x+3y) =(2x) 3 +3(2x) 2 (3y)+3(2x)(3y) 2 +(3y) 3 =8x 3 +36x 2 y+54xy 2+27y 3

Step-by-step explanation:

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Can someone help me with this
Vikentia [17]
<1 and <7 measures 42 degrees
2 and 5 are alternate interior angles from the figure above
7 0
3 years ago
Determine which of the lines, if any, are parallel. Explain.
algol13

Answer:

8) a and c

9) b and c

Step-by-step explanation:

Explanation and work are in the picture :)

7 0
3 years ago
a recipe calls 1 2/3 cups of brown sugar for the granola bars and 1 q/3 cups of brown sugar for the topping. Dara has 3 1-4 cups
sp2606 [1]

Answer:

yes, she does have enough

Step-by-step explanation:

3 1/4 - 1 1/3 - 1 2/3

=1/4

4 0
2 years ago
The amount of potato chips an 18-ounce bag contains follows a normal distribution with a mean of 18.5 ounces and a standard devi
bekas [8.4K]

Answer:

100% probability that the sample mean weight of these 100 bags is less than 18.6 ounces

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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 18.5, \sigma = 0.2, n = 100, s = \frac{0.2}{\sqrt{100}} = 0.02

What is the probability that the sample mean weight of these 100 bags is less than 18.6 ounces

This is the pvalue of Z when X = 18.6. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{18.6 - 18.5}{0.02}

Z = 5 has a pvalue of 1

100% probability that the sample mean weight of these 100 bags is less than 18.6 ounces

7 0
3 years ago
In ΔRST, s = 620 cm, r = 210 cm and ∠R=17°. Find all possible values of ∠S, to the nearest 10th of a degree.
qaws [65]

Answer:

1843:6754.9709254546.,657675

Step-by-step explanation:

4 0
3 years ago
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