fixed probability

05-Probability/Intro_to_Probability.qmd

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 In this course we are interested in experiments where the outcomes of the experiment are uncertain, yet they follow a pattern or *probabilitiy distribution.* As you read in the above questions and answers, these probability distributions follow three rules.
 
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 * Rule 2 or Rule 3
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 Informally, a distribution can be thought of as being "all the possible outcomes of an experiment and how often they occur."
 

docs/05-Probability/Intro_to_Probability.html

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 <li><p>The probability that he does not finish his homework is actually 1 minus the probability that he will finish his homework or 0.55 (i.e., 55%).</p></li>
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 <p>In this course we are interested in experiments where the outcomes of the experiment are uncertain, yet they follow a pattern or <em>probabilitiy distribution.</em> As you read in the above questions and answers, these probability distributions follow three rules.</p>
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 <p>  <strong>The three rules of probability are:</strong></p>
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 <li>Rule 2 or Rule 3</li>
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 <p>Informally, a distribution can be thought of as being “all the possible outcomes of an experiment and how often they occur.”</p>
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 <section id="randomness" class="level3">
 <h3 data-anchor-id="randomness">Randomness</h3>
 <p>A BYU-Idaho student was overhead saying, “I went shopping and bought some <em>random</em> items.” Did the person actually take a random sample of the items at the store? Did they write all the items down and randomly select the items for purchase? Of course not!</p>