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3 years ago

What is the domain and range of each function

Mathematics

1 answer:

yKpoI14uk [10]3 years ago

6 0

Answer:

1. Domain: (3, 5, 7, 8, 11)

Range: ( 6, 7, 9, 14)

2. Domain: (-3, -1, 2, 5, 7)

Range: (-7, -5, -4, 5, 9)

Step-by-step explanation:

The domain is the set of all x values in the function. The range is the set of all y values in the function. It is written in parenthesis from least to greatest. Do not repeat values even if the function has them more than once.

1. Domain: (3, 5, 7, 8, 11)

Range: ( 6, 7, 9, 14)

2. Domain: (-3, -1, 2, 5, 7)

Range: (-7, -5, -4, 5, 9)

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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

3 years ago

Round to the nearest thousands 609

abruzzese [7]

Ummmmmmmmmmmmmmmmmm 1,000?

3 0

3 years ago

Read 2 more answers

A metallurgist has an alloy with 15% titanium and an alloy with 20% titanium. He needs 100 grams of an alloy with 17% titanium.

Hatshy [7]

Ok so the answer in here is 60 grams of the alloy with 10% of titanium needed and 40 grams of the alloy with 25% of titanium are needed.
Let me explain it to you
let x = grams of alloy A and y = grams of alloy B.
x + y = 100 which is mass of A + mass of B = 100
and 0.15x + 0.20y = 0.17*100
which is fractionA*massA + fractionB*massB = fractionTotal*massTotal
0.15(100 - y) + 0.20y = 17
15 - 0.15y + 0.20y = 17
0.05y = 2 y = 40 grams
x = 100 - y = 60 grams

5 0

3 years ago

Find the value of x , please

DerKrebs [107]

x= 15

4x+8x: 180
12x: 180
x: 180/12
x: 15

pls give brainlist
have a great day :)

3 0

3 years ago

Read 2 more answers

What does per gallon mean is it division or multiplication??

DerKrebs [107]

Per gallon means you multiply for each gallon.

Please mark brainliest answer :^)

7 0

4 years ago

Read 2 more answers