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o-na [289]
3 years ago
14

Which equation describes the same line as y- 6 = -4(x + 1)?

Mathematics
1 answer:
BARSIC [14]3 years ago
7 0
The answers to the question is A.
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Solve the rational equation by multiplying both sides by the LCD. Check your results for extraneous
g100num [7]

Answer:

X=7 is a solution

X= -2 is an extraneous solution.

Step-by-step explanation:

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3 years ago
A penny falls from the top of Hard Rock Stadium The height of the penny after a seconds is given by f(x) = 350 - 16x²
7nadin3 [17]

Answer:

B C E

Step-by-step explanation:

Read the question

3 0
3 years ago
The weight of crackers in a box is stated to be 16 ounces. The amount that the packaging machine puts in the boxes is believed t
krek1111 [17]

Answer:

99.99% probability that the mean weight of a 50-box case of crackers is above 16 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 problem, we have that:

\mu = 16.15, \sigma = 0.3, n = 50, s = \frac{0.3}{\sqrt{50}} = 0.0424

What is the probability that the mean weight of a 50-box case of crackers is above 16 ounces?

This is 1 subtracted by the pvalue of Z when X = 16. So

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

By the Central Limit Theorem

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

Z = \frac{16 - 16.15}{0.0424}

Z = -3.54

Z = -3.54 has a pvalue of 0.0001

1 - 0.0001 = 0.9999

99.99% probability that the mean weight of a 50-box case of crackers is above 16 ounces

3 0
3 years ago
Use the quadratic formula to find both solutions to the quadratic equation
yanalaym [24]

Answer:

b

Step-by-step explanation:

took the test

7 0
3 years ago
A chemist is using 358 milliliters of a solution of acid and water. If 13.5% of the solution is acid, how many milliliters of ac
Xelga [282]

Answer:

48 milliliters

Step-by-step explanation:

13.5% of 358 is 48

6 0
3 years ago
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