The length of songs in a collector's iTunes album collection is uniformly distributed from 2.2 to 3.1 minutes. Suppose we randomly pick seven albums from the collection. There are a total of 47 songs on the seven albums. a. In words, define the variable \( X \). A \( X= \) the length of a song, in minutes, in the collection. B \( X= \) the sum of the length of all songs, on ITunes. C \( X= \) the number of songs in the collection. D \( X= \) the number of songs on ITunes. b. Give the distribution of \( X \). \( X \sim \) \( \square \) U \( \sqrt{x} \) ( 2.2 3.1 (For numerical answers, enter values as integers or decimals.) c. Which of the following defines the variable \( X \) ? A \( X= \) the sum of the length, in minutes, of all the songs on itunes. B \( \bar{X}= \) the average length, in minutes, of all the songs on ITunes. c \( \bar{X}= \) the average length, in minutes, of the songs from a sample of seven albums from the collection.
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Bonus Knowledge
The variable \( X \) represents the length of a song, which in this case ranges uniformly from 2.2 to 3.1 minutes. This means that every song in this collection has an equal chance of being any length within that interval, making it quite the diverse mix for collectors! You may also be interested to know that uniformly distributed data can be a great basis for practical applications, like predicting the average song length for playlist creation or analyzing trends in song lengths over time. So next time you curate a playlist, just remember the uniform distribution can help you feature a lovely mix of song lengths for a balanced listening experience!
