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Rainbow [258]
2 years ago
14

Please help!!!! Asap

Mathematics
1 answer:
fenix001 [56]2 years ago
8 0

Answer:

1.   1=1

2. -1= -1

3. -6=-6

4. -7 = -7

Step-by-step explanation:

c

mark brainliest

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10 more than 2 times a number is equal to 2 times the number plus 50. What is the number?
PSYCHO15rus [73]

Answer:

y = 40 is the answer

Step-by-step explanation:

Let the number be y

10 more than 2 times a number = 10 + 2×y

equal to 2 times the number plus 50. = 2 × y + 50

10 + 2y = 2y + 50

combine the like terms

2y - 2y =50 - 10

0 = 40

the number supposes be 40 but the number is represented by 0

i think some thing is missing in your question

y supposes be 40 not 0 = 40

Hope this helps!

3 0
3 years ago
Find the lateral area of the come in terms of pi.
Norma-Jean [14]
The answer should be 12x cm power of 2
4 0
3 years ago
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An Epson inkjet printer ad advertises that the black ink cartridge will provide enough ink for an average of 245 pages. Assume t
Neko [114]

Answer:

35.2% probability that the sample mean will be 246 pages or more

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 = 245 \sigma = 15, n = 33, s = \frac{15}{\sqrt{33}} = 2.61

What the probability that the sample mean will be 246 pages or more?

This is 1 subtracted by the pvalue of Z when X = 246. So

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

By the Central Limit Theorem

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

Z = \frac{246 - 245}{2.61}

Z = 0.38

Z = 0.38 has a pvalue of 0.6480.

1 - 0.6480 = 0.3520

35.2% probability that the sample mean will be 246 pages or more

4 0
3 years ago
A set of silverware contains 30 pieces. The set contains only spoons, forks, and knives. It contains the same number of spoons a
Tema [17]
Let the number of knife be x.
Knife = x
Spoon = 2x
forks = 2x

Total = 30
x + 2x + 2x = 30
5x = 30 
x = 6

Knife = x = 6
forks = 2x = 12
Spoon = 2x = 12

Answer: There are 12 forks.

5 0
3 years ago
Read 2 more answers
Help‼️‼️‼️Answer part 3,4,5 and give several equations for each show your work‼️
soldi70 [24.7K]

Answer:

I'd really love to help you but the way you asked made you sound so needy and that just made me not want to answer sorry...

Step-by-step explanation:

5 0
3 years ago
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