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____ [38]
3 years ago
8

Imma be posting this for while-

Mathematics
2 answers:
Musya8 [376]3 years ago
5 0

Answer:

1/2

Step-by-step explanation:

3/4 of the initial recipe, 2/3, is 1/2.

mestny [16]3 years ago
3 0
1/2, hopefully you do good on whatever you’re doing!
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The third angle would be
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Write each produce using exponents. DO NOT SOLVE. use ^ to signify the exponent. eg, 13 ⋅ 13 = 13^2
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Answer:

Step-by-step explanation:

5^6

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To find out how fast a tree grows, you can measure its trunk. A giant red oak's diameter was 248 inches in 1965. The tree's diam
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3 years ago
-3(k+7)-5k+4=23 what is the value of K?
skad [1K]
-3(k+7)-5k+4=23
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3 0
3 years ago
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The distribution of heights of adult males has a mean of 69 inches and a standard deviation of 4 inches. A random sample of 36 a
Licemer1 [7]

Answer:

P(\bar X >70)= P(Z>\frac{70-69}{\frac{4}{\sqrt{36}}})= P(Z>1.5)

And for this case we can use the complement rule and the normal standard distribution of excel and we got:

P(Z>1.5)=1-P(Z,1.5) = 1-0.933=0.0668

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(69,4)  

Where \mu=69 and \sigma=4

And we select a sample size of n =70

From the central limit theorem  (n>30)we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we want to find this probability:

P(\bar X >70)

And we can use the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got:

P(\bar X >70)= P(Z>\frac{70-69}{\frac{4}{\sqrt{36}}})= P(Z>1.5)

And for this case we can use the complement rule and the normal standard distribution of excel and we got:

P(Z>1.5)=1-P(Z,1.5) = 1-0.933=0.0668

6 0
4 years ago
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