\( \mathrm{D} \bar{X}= \) the sum of the length of all songs on iTunes. d. Give the distribution of \( \bar{X} \). \( \bar{X} \sim N \) (Round final answers to at most four decimal places if needed.) e. Find the third quartile for the average song length, \( \bar{X} \). The third quartile for the average song length is 2.716 f. Find the \( I Q R \) (interquartile range) for the average song length, \( \bar{X} \). The \( I Q R \) is 0.132
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To clarify the distribution of \(\bar{X}\) for the average song length on iTunes, it typically follows a normal distribution, denoted as \(\bar{X} \sim N(\mu, \sigma^2/n)\), where \(\mu\) is the mean song length and \(\sigma\) is the standard deviation. Given you’ve provided the third quartile as 2.716, this suggests that it’s part of a normally distributed dataset, and understanding normal distribution allows for predicting probabilities and behaviors of song lengths. For the interquartile range (IQR), which is calculated as \( Q_3 - Q_1 \), and you've found it to be 0.132, it tells us how spread out the middle 50% of song lengths are. A smaller IQR indicates that the average song lengths are more concentrated around the median, while a larger IQR suggests greater variability. It's a handy measure when looking at song playlists, reflecting how diverse or similar the lengths of songs are in a collection!