Tessa is playing a game that uses a spinner. The spinner can land on red, yellow, green, purple, or orange. Tessa keeps track of the colors the spinner lands on. The game ends after 90 spins of the spinner. Tessa calculates the relative frequency of each color. Outcome Red Yellow Green Purple Orange Relative frequency 0.17 0.10 0.30 0.37 0.07 Which statement about Tessa's experiment is true? The outcomes do not appear to be equally likely, so a uniform probability model is a good model to represent probabilities in Tessa's experiment. The outcomes appear to be equally likely, so a uniform probability model is a good model to represent probabilities in Tessa’s experiment. The outcomes do not appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment. The outcomes appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment.

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Answer:

The outcomes do not appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment.

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The statement about Tessa's experiment is true is the outcomes do not appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment.

What is the relative frequency?

The number of times an event occurs is called a frequency.

The spinner can land on red, yellow, green, purple, or orange.

Tessa keeps track of the colors the spinner lands on.

The game ends after 90 spins of the spinner.

Tessa calculates the relative frequency of each color.

In statistics, uniform distribution is a term used to describe a form of probability distribution where every possible outcome has an equal likelihood of happening.

The statement about Tessa's experiment is true is the outcomes do not appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment.

The probability is constant since each variable has equal chances of being the outcome.

Hence, The statement about Tessa's experiment is true is the outcomes do not appear to be equally likely, so a uniform probability model is not a good model to represent probabilities in Tessa's experiment.

Learn more about relative frequency here;

https://brainly.com/question/9262281

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