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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.
is the correct answer
Step-by-step explanation:
i took the test

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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