document.write( "Question 1163922: Let’s assume the following statements are true: Historically, 75% of the five-star football recruits in the nation go to universities in the three most competitive athletic conferences. Historically, five-star recruits get full football scholarships 93% of the time, regardless of which conference they go to. If this pattern holds true for this year’s recruiting class, answer the following:\r
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document.write( "a. Based on these numbers, what is the probability that a randomly selected five-star recruit who chooses one of the best three conferences will be offered a full football scholarship?
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document.write( "b. What are the odds a randomly selected five-star recruit will not select a university from one of the three best conferences? Explain.
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document.write( "c. Explain whether these are independent or dependent events. Are they Inclusive or exclusive? Explain. \n" );
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Algebra.Com's Answer #854368 by CPhill(2264) You can put this solution on YOUR website! Based on the statistics provided, here are the calculations and logical breakdowns for this year's recruiting class:\r \n" ); document.write( "\n" ); document.write( "### a. Probability of a Scholarship in a Top Conference \n" ); document.write( "The probability is **93%** (or **0.93**).\r \n" ); document.write( "\n" ); document.write( "**Reasoning:** The prompt states that five-star recruits get full scholarships 93% of the time **\"regardless of which conference they go to.\"** This implies that the scholarship rate and the conference choice are treated as independent factors in this dataset. Therefore, knowing the recruit chose a top conference does not change the established 93% probability.\r \n" ); document.write( "\n" ); document.write( "---\r \n" ); document.write( "\n" ); document.write( "### b. Odds of Not Selecting a Top Conference \n" ); document.write( "The odds are **1 to 3** (or $1:3$).\r \n" ); document.write( "\n" ); document.write( "**Explanation:** \n" ); document.write( "1. **Probability ($P$):** We know 75% ($3/4$) of recruits choose a top conference. Therefore, the probability of **not** choosing one is 25% ($1/4$). \n" ); document.write( "2. **Calculating Odds:** Odds are expressed as the ratio of *Successes* to *Failures* (or in this case, *Not Selecting* vs. *Selecting*). \n" ); document.write( " * $\text{Odds} = \frac{P(\text{Not Top})}{P(\text{Top})} = \frac{25\%}{75\%} = \frac{1}{3}$ \n" ); document.write( "3. **Interpretation:** For every 1 recruit who chooses a school outside the top three conferences, there are 3 recruits who choose a school within them.\r \n" ); document.write( "\n" ); document.write( "---\r \n" ); document.write( "\n" ); document.write( "### c. Event Relationships\r \n" ); document.write( "\n" ); document.write( "**Independent vs. Dependent** \n" ); document.write( "These are **Independent** events. \n" ); document.write( "* **Why?** The prompt explicitly states the scholarship rate is 93% \"regardless of which conference they go to.\" This means the outcome of the first event (choosing a conference) has no effect on the probability of the second event (getting a scholarship).\r \n" ); document.write( "\n" ); document.write( "**Inclusive vs. Exclusive** \n" ); document.write( "These are **Inclusive** events. \n" ); document.write( "* **Why?** Mutually exclusive events are things that cannot happen at the same time (like a coin landing on both Heads and Tails). In this scenario, a recruit **can** both choose a top conference **and** receive a full scholarship simultaneously. Since these two outcomes can overlap in a single person, they are inclusive.\r \n" ); document.write( "\n" ); document.write( "***\r \n" ); document.write( "\n" ); document.write( "Do you have a specific recruit's data you're trying to model, or are you looking for the combined probability of both events happening at once? \n" ); document.write( " |