Claudia's calculator will generate random numbers. She sets it to generate a number from 1 to 5 one hundred times. She then calculates the relative frequency of each number. Outcome 1 2 3 4 5 Relative frequency 0.19 0.21 0.18 0.21 0.21 Select from the drop-down menus to correctly complete each statement. The relative frequencies in the table are . A uniform probability model a good model to represent probabilities related to the numbers generated by Claudia's calculator. Therefore, the theoretical probability that any one number is chosen is likely .

Claudias calculator will generate random numbers She sets it to generate a number from 1 to 5 one hundred times She then calculates the relative frequency of ea class=

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The answers are in bold

The shown relative frequencies are 0.18, 0.19, and 0.21, which is pretty close to 0.19 - 0.20. From there you can tell that they are reasonably close to equal.

That means that the probailities are close to uniform and => A uniform propabililty model IS a good model to represent probabilities related to the numbers generated by Claudia's calculator. 

Therefore, the theoretical probability that any one number is chosen is likely 0.2.

Because there are 100 trials, but the experimental probability comes really close to the theoretical one, we can conclude that the correct option is:

"The relative frequencies in the table are a good model to represent probabilities related to the numbers generated by Claudia's calculator."

How to correctly complete the statement?

If there are 5 possible outcomes {1, 2, 3, 4, 5} and all of these are equally likely (like in any random number generator or R.N.G.) then the probability of getting each one of these numbers should be the same, in this case:

p = 1/5 = 0.2 (this is the theoretical probability)

The experimental probabilities that Claudia got out of 100 trials, is:

  • p₁ = 0.19
  • p₂ = 0.21
  • p₃ = 0.18
  • p₄ = 0.21
  • p₅ = 0.21

Why is this different from the theoretical probability?

Because 100 trials is a really small number, so, we should expect to see that if the number of trials increases a lot, the experimental probabilities should become almost equal to the theoretical ones.

Regardless of that, the experimental probabilities are really close to the theoretical ones. Then we can say that:

"The relative frequencies in the table are a good model to represent probabilities related to the numbers generated by Claudia's calculator."

We can't say that it is "A uniform probability" because we can't conclude that with only 100 trials.

If you want to learn more about probability, you can read:

https://brainly.com/question/251701