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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.

Ask by Chambers Tran. in the United States
Mar 09,2025

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Answer

a. \( X \) is the length of a song, in minutes, in the collection. b. \( X \sim U(2.2, 3.1) \) c. \( \bar{X} \) is the average length, in minutes, of the songs from a sample of seven albums from the collection.

Solution

Let's break down the problem step by step. ### Part a: Define the variable \( X \) We need to determine what \( X \) represents in the context of the problem. The problem states that the length of songs in a collector's iTunes album collection is uniformly distributed from 2.2 to 3.1 minutes. - **Option A** states that \( X \) is the length of a song, in minutes, in the collection. This is a reasonable definition since we are interested in the length of individual songs. - **Option B** states that \( X \) is the sum of the length of all songs on iTunes. This is not correct because \( X \) is defined as the length of a single song, not the total length. - **Option C** states that \( X \) is the number of songs in the collection. This is also incorrect as it does not pertain to the length of songs. - **Option D** states that \( X \) is the number of songs on iTunes. This is again not correct for the same reason as option C. Thus, the correct answer is: **A** \( X= \) the length of a song, in minutes, in the collection. ### Part b: Give the distribution of \( X \) The problem states that the length of songs is uniformly distributed between 2.2 and 3.1 minutes. Therefore, we can express the distribution of \( X \) as: \[ X \sim U(2.2, 3.1) \] So the answer is: \( X \sim U(2.2, 3.1) \) ### Part c: Which of the following defines the variable \( X \)? Now we need to analyze the options given: - **Option A** states that \( X \) is the sum of the length, in minutes, of all the songs on iTunes. This is incorrect because \( X \) is defined as the length of a single song, not the sum. - **Option B** states that \( \bar{X} \) is the average length, in minutes, of all the songs on iTunes. This is also incorrect because it does not define \( X \) but rather the average of all songs. - **Option C** states that \( \bar{X} \) is the average length, in minutes, of the songs from a sample of seven albums from the collection. This is also not a definition of \( X \) but rather a statistic derived from a sample. None of the options directly define \( X \) as it was defined in part a. However, if we are looking for the closest option that relates to the average length of songs, option C is the most relevant, but it still does not define \( X \). Thus, the answer to part c is: **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!

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