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Leviafan [203]
3 years ago
14

How many solutions does the equation −3y + 3y + 4 = 4 have?

Mathematics
2 answers:
Musya8 [376]3 years ago
6 0
Infinitely many solutions is the answer : D
suter [353]3 years ago
5 0
Im pretty sure it is one because it has to equal 4 everytime and so far it only work once
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2 1/5 × 5/6<br> (its a fraction) <br> PLSSS i need it now its a test
Soloha48 [4]

Answer:

\frac{11}{6} \ \ or \ 1\frac{5}{6}

Step-by-step explanation:

2\frac{1}{5} \times \frac{5}{6} \\\\ = \frac{11}{5} \times \frac{5}{6} \\\\=\frac{11}{6}\\\\=1 \frac{5}{6}

6 0
2 years ago
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It takes a ball an average of 0.09 seconds to knock down 4 dominoes, how long will it take to knock down 8 dominoes?
Elina [12.6K]
Answer: 0.18 seconds
step by step explanation: if it takes 0.09 seconds to knock down 4 dominoes, and you are trying to find out how long it will take to knock down 8 dominoes, you can see that 8/4=2, so you need to multiply 0.09 times 2 to get your answer, which is 0.18 seconds.
4 0
2 years ago
Which of these graphs represents x -8? A. B. C. D.
Dafna1 [17]

Answer:

i do not know i think it is B

Step-by-step explanation:

5 0
2 years ago
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Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distribut
defon

Answer:

0.8665 = 86.65% probability that the sample mean would be at least $39000

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 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.

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.

Mean $39725 and standard deviation $7320.

This means that \mu = 39725, \sigma = 7320

Sample of 125:

This means that n = 125, s = \frac{7320}{\sqrt{125}} = 654.72

The probability that the sample mean would be at least $39000 is about?

This is 1 subtracted by the pvalue of Z when X = 39000. So

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

By the Central Limit Theorem

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

Z = \frac{39000 - 39725}{654.72}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335

1 - 0.1335 = 0.8665

0.8665 = 86.65% probability that the sample mean would be at least $39000

4 0
2 years ago
What is the difference between categorical and quantitative data? Give examples of each of your own for each. Also decide whethe
andrezito [222]
Categorical data are also known as the qualitative data wherein it usually describes a value of a subject as what is perceived by our senses. On the other hand, a quantitative data revolves around any variables that are considered to be measured wherein examples of which are temperature, length and width.
6 0
3 years ago
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