Let x = (x₁,...,xn) be a data set, and denote its sample standard deviation with sx. Let y₁ = ax; + b. (a) Show that sy = |a|sx, where sy is the sample standard deviation of y = (y₁,..., yn). (b) Show that Median(y) = a · Median(x) + b. (c) If a > 0, can you write the relation between Q1(y) and Q1(x)? What happens if a < 0? Note: Q1(x) (or Q1(y)) denotes the first quartile of the distribution of the random variable x (or y)

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Let \( \mathbf{x} = (x_1, \ldots, x_n) \) be a data set, and denote its sample standard deviation with \( s_x \). Let \( y_i = ax_i + b \).

(a) Show that \( s_y = |a| s_x \), where \( s_y \) is the sample standard deviation of \( \mathbf{y} = (y_1, \ldots, y_n) \).

(b) Show that \( Median(y) = a \cdot Median(x) + b \).

(c) If \( a > 0 \), can you write the relation between \( Q1(y) \) and \( Q1(x) \)? What happens if \( a < 0 \)?

**Note:** \( Q1(x) \) (or \( Q1(y) \)) denotes the first quartile of the distribution of the random variable \( x \) (or \( y \)).
Transcribed Image Text:Let \( \mathbf{x} = (x_1, \ldots, x_n) \) be a data set, and denote its sample standard deviation with \( s_x \). Let \( y_i = ax_i + b \). (a) Show that \( s_y = |a| s_x \), where \( s_y \) is the sample standard deviation of \( \mathbf{y} = (y_1, \ldots, y_n) \). (b) Show that \( Median(y) = a \cdot Median(x) + b \). (c) If \( a > 0 \), can you write the relation between \( Q1(y) \) and \( Q1(x) \)? What happens if \( a < 0 \)? **Note:** \( Q1(x) \) (or \( Q1(y) \)) denotes the first quartile of the distribution of the random variable \( x \) (or \( y \)).
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