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3 years ago

8/10 divided by 1/2=? show how you got the answer

Mathematics

2 answers:

zheka24 [161]3 years ago

5 0

Answer:

here you go

its 8/5 as a fration

iren [92.7K]3 years ago

3 0

So set up your equation

(8/10)/(1/2)=?

Instead dividing, you can multiply by the reciprocal

8/10*2=?

Now just multiple the numerator only, because the denominator is technically one

So your answer would come out to be 16/10 or 8/5

ANSWER: 8/5

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Help me answer????????????????

tigry1 [53]

Answer:

too long, sorry got my own work to do :|

Step-by-step explanation:

8 0

3 years ago

The grade appeal process at a university requires that a jury be structured by selecting eight individuals randomly from a pool

anygoal [31]

Answer: The probability of selecting a jury of all faculty=0.000071

The probability of selecting a jury of six students and two two faculty=0.3667

Step-by-step explanation:

Given: The number of students = 9

The number of faculty members=11

The total number of ways of selecting jury of eight individuals= $^{20}C_8=\frac{20!}{(20-8)!\times8!}=125970$

The number of ways of selecting jury of all faculty= $^9C_8=\frac{9!}{8!(9-8)!}=9$

The probability of selecting a jury of all faculty= $\frac{9}{125970}=0.000071$

The number of ways of selecting jury of six students and two two faculty

$=^9C_6\times ^{11}C_2=\frac{9!}{6!(9-6)!}\times\frac{11!}{2!\times(11-2)!}\\=84\times55=4620$

Now, the probability of selecting a jury of six students and two two faculty

$=\frac{4620}{125970}=0.03667$

7 0

3 years ago

Need help with b, picture attached.

Vikki [24]

$7500/75=100$
This means that a field of those dimensions would not be the required length of a minimum of 110 feet.

7 0

3 years ago

WILL GIVE BRAINLYST DUE IN 20 MINS

Darina [25.2K]

Answer:

1. x = -7

2. y = -1

Step-by-step explanation:

-3x - 5 = 16 add 5 to both sides

-3x = 21 divide -3 to both sides

x = -7

-4(y-2) = 12 distribute -4

-4y + 8 = 12 subtract 8 from both sides

-4y = 4 divide -4 to both sides

y = -1

SECOND PAGE

1. x = 9

2. y = -3

5 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:

Poisson distribution

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.

Hyper geometric probability distribution:-

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 Hyper geometric probability distribution 

Binomial distribution

The number of successes in 'n' Bernoulli trials produces a Binomial distribution . 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.

Normal distribution:-

normal distribution is a continuous distribution in which the variate can take all values within a range.

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 Normal distribution 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.

Conclusion:-

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

3 0

4 years ago