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Advocard [28]
2 years ago
6

-sqr(4x+6)-15 Find the domain.

Mathematics
1 answer:
Maksim231197 [3]2 years ago
6 0

Answer:

Step-by-step explanation:

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Which unit rate is the lowest price per ounce? Choice A: 15 ounces of chocolate chips for $2.49 Choice B: 20 ounces of chocolate
Arisa [49]
Its 15 divided by 2.49 which is 6.02, then you have to divide 20 divide by 3.32 which equals 6.02. They are both equal Both a and B are equal

You're Welcome i hope i helped
7 0
3 years ago
Read 2 more answers
Please explain step by step worth 20 points
ankoles [38]
Multipy $275 by the 4.5%
4.5%=.045 (just move the decimal 2 places left)
275*.045= 12.375  Susan gets $12.375 a year (don't round yet)
Multiply $12.375 by 5years          12.375*5= 61.875 (now round)
$61.90=B
I hope this helps! :)

5 0
3 years ago
Use properties to find the sum or product<br>8 x 51
Lostsunrise [7]

8(51)

=8(50+1)

=8*50+8*1

=8*5*10+8*1

=400+8

=408

5 0
3 years ago
Suppose a batch of metal shafts produced in a manufacturing company have a population standard deviation of 1.3 and a mean diame
lbvjy [14]

Answer:

54.86% probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

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 = 208, \sigma = 1.3, n = 60, s = \frac{1.3}{\sqrt{60}} = 0.1678

What is the probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

Lesser than 208 - 0.1 = 207.9 or greater than 208 + 0.1 = 208.1. Since the normal distribution is symmetric, these probabilities are equal, so we find one of them and multiply by 2.

Lesser than 207.9.

pvalue of Z when X = 207.9. So

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

By the Central Limit Theorem

Z = \frac{207.9 - 208}{0.1678}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

2*0.2743 = 0.5486

54.86% probability that the mean diameter of the sample shafts would differ from the population mean by more than 0.1 inches

6 0
3 years ago
If a bottle rotates through 270 degrees in 3 seconds,how degrees does it rotate in 2 seconds?
makkiz [27]
It rotates 180 degrees because its like 90 +90+180
 180+90=270
7 0
3 years ago
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