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Explore Categorical Data

Explore Categorical Data. Variables. Results from Coin-Flipping Team Tryouts. Yesterday’s tryouts went very well. Congratulations to the following team members: Bailey Jodie Kyle Ryan Duncan Joshua Nick Ella. Few Questions.

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Explore Categorical Data

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  1. Explore Categorical Data Variables

  2. Results from Coin-Flipping Team Tryouts Yesterday’s tryouts went very well. Congratulations to the following team members: Bailey Jodie Kyle Ryan Duncan Joshua Nick Ella

  3. Few Questions • Were the people who were cut really worse at flipping coins? • What would happen if we let each athlete flip the coin a thousand times? Let’s say a player’s ABILITY to flip a coin and it landing on heads is 60%. • If the player flips the coin10 times, would it be unreasonable for her to land on heads only 3 times? • How about all 10 flips?

  4. Statistical Study A Statistical Study involves the following process: 1. Hypothesis 2. Collect data 3. Analyze data 4. Conclusion

  5. What makes a good player? • Baseball: • Basketball: • Golf: • Soccer: • Cross Country: • Tennis: • Football:

  6. Variables A variable is something that can change. It is included in the hypothesis part of the statistical study. • Free throws • Home runs • Yards gained • Touch downs

  7. Data Numerical data: The data of a variable can be either numerical or categorical. quantitative • number of home runs • number of points scored • number of yards gained Categorical data: can be sorted into categories / groups • making / not making a free throw • winning / loosing a game • number of bases (at-bat) We’ll be working with variables for a while. categorical

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