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Mariulka [41]
4 years ago
5

Which ordered pairs are solutions to the inequality y−4x≤−6 ?

Mathematics
1 answer:
amid [387]4 years ago
7 0

I think it is A, (-2,-14)

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Malcolm has been watching a roulette-style game at a local charity bazaar. The game has only ten numbers on the wheel, and every
Mariana [72]

Answer:

Malcolm is showing evidence of gambler's fallacy.

This is the tendency to think previous results can affect future performance of an event that is fundamentally random.

Step-by-step explanation:

Since each round of the roulette-style game is independent of each other. The probability that 8 will come up at any time remains the same, equal to the probability of each number from 1 to 10 coming up. That it has not come up in the last 15 minutes does not increase or decrease the probability that it would come up afterwards.

5 0
4 years ago
1 point
Strike441 [17]

how many cups does she have? you didn't day

7 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
4 years ago
Pls help being timed
Sloan [31]

He needs 9 hours

hope this helps

3 0
3 years ago
Jane is studying the rate at which the sale of a particular brand of chocolate has increased over the years. The graph below sho
STALIN [3.7K]
The y-intercept, in this case, represents when x is at 0, or when she just began observing.
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4 years ago
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