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Blizzard [7]
3 years ago
13

Factor x^2+1.1x+0.28

Mathematics
1 answer:
Pavel [41]3 years ago
7 0

Answer:

x^2 + 1.1x + 0.28

Step-by-step explanation:

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Anyone please answer !!!!! Happy holidays!
ValentinkaMS [17]

Answer:

(4, 0)

Step-by-step explanation:

6x-3y=24\\-3y=24-6x\\y=-8+2x\\0=-8+2x\\8=2x\\

x=4 when y=0, and in x-intercepts, we are trying to find the value of x when y=0, which is why (4, 0) is the point of interception.

5 0
2 years ago
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A paper sheet is cut 28 inches to the nearest inches. Find the maximum and minimum length of the patient possible.
aliina [53]

Answer:

  • max: 28.5 inches
  • min: 27.5 inches

Step-by-step explanation:

If the actual dimension were different from 28 inches by more than 1/2 inch, it would be reported as a different dimension. So, the minimum that will be reported as 28 is 27.5. The maximum that will be reported as 28 will be 28.4999999.... ≈ 28.5

The maximum and minimum length of the sheet are 28.5 inches and 27.5 inches, respectively.

4 0
3 years ago
Which ordered pair can be plotted together with these four points, so that the resulting graph still represents a function?
MrRissso [65]

Answer:

The Answer is B - (-1,2)

Step-by-step explanation:

A function must pass the vertical line test and if you were to plot any of those points on the graph they can't be on the same vertical line as any of the other points. (-1 , 2) is the only point that would allow the graph to pass the VLT

7 0
3 years ago
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Plz help I need this last question
LuckyWell [14K]

Step-by-step explanation:

v =  \frac{\pi r {}^{2}h }{3}

3v = \pi  {r}^{2} h

\frac{3v}{\pi h}  =  {r}^{2}

\sqrt{ \frac{3v}{\pi h} }  = r

8 0
3 years ago
The cost of unleaded gasoline in the Bay Area once followed a normal distribution with a mean of $4.74 and a standard deviation
pishuonlain [190]

Answer:

Approximately 0% probability that the average price for 15 gas stations is over $4.99.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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 = 4.74, \sigma = 0.16, n = 16, s = \frac{0.16}{\sqrt{16}} = 0.04

What is the approximate probability that the average price for 15 gas stations is over $4.99?

This is 1 subtracted by the pvalue of Z when X = 4.99. So

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

By the Central Limit Theorem

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

Z = \frac{4.99 - 4.74}{0.04}

Z = 6.25

Z = 6.25 has a pvalue very close to 1.

1 - 1 = 0

Approximately 0% probability that the average price for 15 gas stations is over $4.99.

4 0
3 years ago
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