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Question 13 of 13 , Step 1 of 2 Consider the value of \( t \) such that the area to the left of \( -|t| \) plus the area to the right of \( |t| \) equals 0.05 . 8.2 student's t-Distribution Step 1 of 2 : Select the graph which best represents the given description of \( t \). Answer

Ask by Delgado Fowler. in the United States
Mar 19,2025

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Select the graph showing a symmetric t-distribution with shaded areas in both tails beyond -|t| and |t|, each with an area of 0.025.

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\[ \textbf{Step 1: Graph Selection} \] The description indicates that we have a symmetric \( t \)-distribution with critical values at \( -|t| \) and \( |t| \), such that the combined area in the two tails is 0.05. Since the \( t \)-distribution is symmetric about 0, the left tail area (to the left of \( -|t| \)) is \[ \frac{0.05}{2} = 0.025, \] and similarly the right tail area (to the right of \( |t| \)) is \[ 0.025. \] Therefore, the graph that best represents this description is one where: - The curve is the standard \( t \)-distribution (symmetric and bell-shaped). - The areas in the far left (beyond \( -|t| \)) and the far right (beyond \( |t| \)) regions are shaded. - Each shaded tail has an area of 0.025. Select the graph showing a symmetric \( t \)-curve with shaded regions in both tails corresponding to extreme values beyond \( -|t| \) and \( |t| \).

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Bonus Knowledge

In a student's t-distribution, that's symmetric and bell-shaped, if the area to the left of \(-|t|\) plus the area to the right of \(|t|\) equals 0.05, it implies that we are looking for the values of \(t\) that correspond to the outer 2.5% in each tail of the distribution. To find the correct graph, look for one that shows the central 95% of the curve between \(-|t|\) and \(|t|\), with shaded areas in both tails representing the 5% (2.5% in each tail). Additionally, keep an eye out for the degrees of freedom for the t-distribution as this can affect the shape of the graph. For example, with lower degrees of freedom, the tails will be heavier, indicating a greater probability of extreme values; as the degrees of freedom increase, the t-distribution approaches a normal distribution, resulting in lighter tails and a more defined peak at the center.

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