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91Ó°ÊÓ

Serena Williams won the 2010 Wimbledon Ladies' Singles Championship. For the seven matches she played in the tournament, her total number of first serves was \(379,\) total number of good first serves was 256 , and total number of double faults was 15 . a. Find the probability that her first serve is good. b. Find the conditional probability of double faulting, given that her first serve resulted in a fault. c. On what percentage of her service points does she double fault?

Short Answer

Expert verified
a. \(\approx 0.675\); b. \(\approx 0.122\); c. \(\approx 3.96\%\).

Step by step solution

01

Define the First Serve Probability

Total number of first serves: \( N = 379 \) and total number of good first serves: \( G = 256 \). The probability that a first serve is good, \( P(G) \), can be found using the formula \( P(G) = \frac{G}{N} \).
02

Calculate the Probability of a Good First Serve

Substitute the values into the formula from Step 1: \( P(G) = \frac{256}{379} \). Performing the division gives \( P(G) \approx 0.675 \).
03

Determine Faults and Double Faults

A fault occurs if the first serve is not good, meaning there are \( 379 - 256 = 123 \) faults. She made a total of 15 double faults.
04

Compute Conditional Probability for Double Fault

Conditional probability of a double fault given a faulted first serve, \( P(DF|F) \), is given by \( P(DF|F) = \frac{15}{123} \). Performing the division results in \( P(DF|F) \approx 0.122 \).
05

Calculate Percentage of Service Points with Double Fault

Total service points is the sum of all first serves: \( 379 \). To find the percentage, use the formula \( \frac{15}{379} \times 100 \% \). This equals approximately \( 3.96\% \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Conditional Probability
Conditional probability helps us determine the likelihood of an event occurring given that another event has already occurred. It's a fundamental concept in probability theory that allows us to build more informed predictions.

In the context of sports statistics, and specifically Serena Williams' serving at Wimbledon, we can use conditional probability to better understand her performance. For instance, we can find the probability of her making a double fault, given that a first serve resulted in a fault.

The formula for conditional probability is: \[ P(A|B) = \frac{P(A \cap B)}{P(B)} \] This can be rewritten as:
  • **Where:**
    • \( P(A|B) \) is the probability of event A occurring given event B has occurred.
    • \( P(A \cap B) \) is the probability of both events A and B occurring.
    • \( P(B) \) is the probability of event B occurring.
For Serena's matches, the conditional probability was computed for her making a double fault, knowing that her first serve had faulted. This concept allows athletes, coaches, and statisticians to analyze specific scenarios in more depth.
Probability Calculation
Probability calculation is the method of determining the chance that a particular event will occur. Probabilities range from 0 to 1, where 0 indicates impossibility and 1 indicates certainty. When calculating probability, you often divide the number of favorable outcomes by the total number of possible outcomes. For example, when finding the probability that Serena Williams' first serve is good at Wimbledon, the calculation is based on:

  • Total number of first serves, which is 379.
  • Total number of good first serves, which is 256.
The probability formula used is: \[ P(G) = \frac{G}{N} \]where \( G \) is the number of good serves, and \( N \) is the total number of serves. Substituting the given values, we get \( P(G) = \frac{256}{379} \approx 0.675 \). This means there's a 67.5% chance that her first serve is good.

Understanding probability calculations can provide valuable insights into performance and help strategize for improvement in various scenarios.
Statistical Analysis
Statistical analysis involves collecting, reviewing, and interpreting data to uncover patterns and trends. It's a powerful tool used in many fields, such as sports, to provide insights based on actual performance data.

In the context of Serena Williams' statistics during the Wimbledon tournament, researchers and analysts use statistical analysis to examine her performance and draw conclusions. For instance, they might look at her serve success rate or her likelihood of making a double fault. By calculating probabilities and percentages from real match data, analysts can provide meaningful interpretations that help in understanding a player's strengths and weaknesses. Serena's match data, such as the percentage of double faults or the probability of landing a good first serve, is a prime example of how statistical analysis can enhance our comprehension of sports events and improve decision-making strategies.
Sports Statistics
Sports statistics involve collecting and analyzing data related to athletes’ performances. This data helps coaches, players, and fans understand performance trends, strengths, and areas that need improvement.

For Serena Williams’ 2010 Wimbledon performance, sports statistics provided insights into various elements of her game. Through these numbers, analysts can break down complex concepts into understandable figures like her serving percentage, occurrence of faults, and occurrence of double faults.

Sports statistics are not just numbers; they are a source of strategic knowledge. By understanding these figures, coaches can tailor training programs to improve certain aspects of a player's game.
  • For example, if data suggests a high rate of double faults, a player might focus more on practicing serve accuracy under competitive pressure.
  • Moreover, fans can appreciate the game on an informed level, understanding the significance of each move based on statistical probability.

In summary, sports statistics transcend beyond mere performance records; they represent a data-driven approach to excelling in competitive sports.

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