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IgorLugansk [536]
3 years ago
10

6(5x-3) distributive property gcf

Mathematics
2 answers:
jeka943 years ago
8 0
6(5x-3)

Multiply each inside number by the outside number
6•5x= 30x
6•-3= -18

Put them back into their equation
30x-18
omeli [17]3 years ago
3 0

Answer:

Step-by-step explanation:30x-18

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the half-life of a new experimental drug in your bloodstream is 15 hours how long will it take for the drug to Decay to 60% of t
Ierofanga [76]

4 hours? i may be wrong

i did - 60 * 15

seems about right, since 50% would be 7.5 hours?

7 0
2 years ago
It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minute
Molodets [167]

Answer:

10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

99.55% probability that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be 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.

Mildly obese

Normally distributed with mean 375 minutes and standard deviation 68 minutes. So \mu = 375, \sigma = 68

What is the probability (±0.0001) that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes?

So n = 6, s = \frac{68}{\sqrt{6}} = 27.76

This probability is 1 subtracted by the pvalue of Z when X = 410.

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

Z = \frac{410 - 375}{27.76}

Z = 1.26

Z = 1.26 has a pvalue of 0.8962.

So there is a 1-0.8962 = 0.1038 = 10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

Lean

Normally distributed with mean 522 minutes and standard deviation 106 minutes. So \mu = 522, \sigma = 106

What is the probability (±0.0001) that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes?

So n = 6, s = \frac{106}{\sqrt{6}} = 43.27

This probability is 1 subtracted by the pvalue of Z when X = 410.

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

Z = \frac{410 - 523}{43.27}

Z = -2.61

Z = -2.61 has a pvalue of 0.0045.

So there is a 1-0.0045 = 0.9955 = 99.55% probability that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes

6 0
3 years ago
The price s of a pair of shoes plus 5% sales tax
zzz [600]

An expression for that would be s + 0.05s, or 1.05s.

3 0
2 years ago
What is 1/6 + 2/12 + 1/3 + 3/4 + 1/2 = ?
matrenka [14]

Answer:

\frac{19}{12}

Step-by-step explanation:

\frac{1}{6}  +  \frac{2}{12}  +  \frac{3}{4}  +  \frac{1}{2}

\frac{2}{12}  +  \frac{2}{12}  +  \frac{9}{12}  +  \frac{6}{12}

\frac{19}{12}

7 0
3 years ago
The line below are parallel. If the slope of the green line is 2/7, what is the slope of the red line?
professor190 [17]
Parallel lines have the same slope. So the slope of the other line =2/7
6 0
3 years ago
Read 2 more answers
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