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gtnhenbr [62]
3 years ago
13

17. what are the coordinates of the table is it a minimum

Mathematics
1 answer:
Lynna [10]3 years ago
6 0
Can you show us a picture....
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What is 10+10<br> and what is 4+5
seropon [69]
20 and 9 is the answer
6 0
3 years ago
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What is a unit fraction
artcher [175]

Answer:

Step-by-step explanation: A unit fraction is one part of a whole that is divided into equal parts. A unit fraction has 1 as the top number, which is the numerator. ... With unit fractions, when the bottom number - called the denominator - is bigger, the value of the unit fraction is smaller.

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3 years ago
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is it possible to draw a pair of supplementary angles in which both angles are acute. Explain your Answer with words and drawing
tiny-mole [99]

It is practically impossible to draw a pair of supplementary angles in which both angles are acute.

<h3>What are Supplementary Angles?</h3>

When two angles add up to give us 180 degrees, both angles are said to be supplementary angles. Thus, they have a sum of 180 degrees. One is a supplement of the other.

<h3>What are Acute Angles?</h3>

Acute angles can be defined as angles that have a measure that is less than 90 degrees. That is, they do not measure up to 90 degrees or have a measure below 90 degrees.

Thus, this means that, for two angles to be supplementary, one of them can be an acute angle while the other must be more than 90 degrees. For example, 50 degrees is an acute angle while 130 degrees is not an acute angle, but they are supplementary angles because: 50 + 130 = 180°.

On the other hand, the sum of two acute angles cannot be equal to 180 degrees. E.g, 89 + 89 = 178°.

In conclusion, it is therefore, practically impossible to draw a pair of supplementary angles in which both angles are acute.

Learn more about supplementary angles on:

brainly.com/question/8992900

#SPJ1

8 0
2 years ago
Percentage problems with mixed number
igor_vitrenko [27]

Answer:

1. 93

2.400

3. 20

4. $1684

Step-by-step explanation:

Start by a etting up an equality.

0.155/100 = x/600

Then cross multiply.

(0.155) × (600) ÷ 100 = 93

3 0
3 years ago
When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability
sdas [7]

Answer:

a)  Poisson distribution

use a  Poisson distribution model when events happen at a constant rate over time or space.

Step-by-step explanation:

<u> Poisson distribution</u>

  • Counts based on events in disjoint intervals of time or space produce a Poisson random variable.
  • A Poisson random variable has one parameter, its mean λ
  • The Poisson model uses a Poisson random variable to describe counts in data.

use a  Poisson distribution model when events happen at a constant rate over time or space.

<u>Hyper geometric probability distribution</u>:-

The Hyper geometric probability distribution is a discrete probability distribution that describes the probability of successes (random draws for which the object drawn has a specified feature) in draws without replacement, from a finite population of size that contains exactly objects with that feature where in each draw is either a success or failure.

This is more than geometric function so it is called the <u>Hyper geometric probability distribution </u>

<u></u>

<u>Binomial distribution</u>

  • The number of successes in 'n' Bernoulli trials produces a <u>Binomial distribution </u>. The parameters are size 'n' success 'p' and failure 'q'
  • The binomial model uses a binomial random variable to describe counts of success observed for a real phenomenon.

Finally use a Binomial distribution when you recognize distinct Bernoulli trials.

<u>Normal distribution</u>:-

  • <u>normal distribution is a continuous distribution in which the variate can take all values within a range.</u>
  • Examples of continuous distribution are the heights of persons ,the speed of a vehicle., and so on
  • Associate normal models with bell shaped distribution of data and the empirical rule.
  • connect <u>Normal distribution</u> to sums of like sized effects with central limit theorem
  • use histograms and normal quantile plots to judge whether the data match the assumptions of a normal model.

<u>Conclusion</u>:-

Given data use a  Poisson distribution model when events happen at a constant rate over time or space.

3 0
3 years ago
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