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madam [21]
3 years ago
10

I really need help ASAP

Mathematics
1 answer:
kolezko [41]3 years ago
6 0

Answer:

The first 2 on top is not a function. The 3rd one on top and the bottom 2 are functions.

Step-by-step explanation:

The x-value cannot have more than 1 y-value or else when you plot the points on the graph, it doesn't meet the vertical line test. The vertical line test indicates whether or not the graph is a function. Different x-values can have the same y-value.

Function examples: (3,-4), (5,0), (0,-4), (1,2)

Not a Function examples: (0,8), (2,-1), (0,-2), (-5,3)

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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:

<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
4 years ago
How many miles of land area does a tower with a signal of 15 miles in all directions cover
Sliva [168]
The area of a circle with a radius of 15 is about 707 or exactly 706.86
4 0
3 years ago
Read 2 more answers
How many ways can 40 students be divided equally between 5 teachers
Sergeeva-Olga [200]

Answer: 8

Step-by-step explanation: do 40 divided by 5 and get 8

4 0
4 years ago
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A bag contains 42 red, 45 green, 20 yellow, and 32 purple candies. You pick one candy at random. Find the probability that it is
nata0808 [166]

Answer:

119 / 139 or 85.611510791%

Step-by-step explanation:

42+45+20+32 = 139 (Total number of candies)

42+45+32 = 119 (Total number of sweets not yellow)

8 0
4 years ago
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DeltaMath⚠️Please help me!! ⚠️
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Answer:

4.5 would be the correct answer

6 0
3 years ago
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