A particular brand of dishwasher soap is sold in three sizes: 30 oz, 40 oz, and 60 oz. Twenty percent of all purchasers select a 30-oz box, 50% select a 40-oz box, and the remaining 30% choose a 60-oz box. Let X, and X, denote the package sizes selected by two independently selected purchasers. (a) Determine the sampling distribution of X. 30 35 40 45 50 60 P(x) Calculate E). E(X) = oz Compare E(X) to u. O EX) < H O EX) = 4 O EX) > H (b) Determine the sampling distribution of the sample variance s?. 50 200 450 P(s?) Calculate E(s?). E(s?) = Compare E(s?) to a?. O E(s?) = g2 O E(s?) > o? O E(s?) < o2

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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A particular brand of dishwasher soap is sold in three sizes: 30 oz, 40 oz, and 60 oz. Twenty percent of all purchasers select a 30-oz box, 50% choose a 40-oz box, and the remaining 30% choose a 60-oz box. Let \(X_1\) and \(X_2\) denote the package sizes selected by two independently selected purchasers.

**(a) Determine the sampling distribution of \(\bar{X}\).**

- Table for \(\bar{X}\):
  - \(\bar{x}\): 30, 35, 40, 45, 50, 60
  - \(p(\bar{x})\): (empty fields to be filled by the user)

- Calculate \(E(\bar{X})\).
  - \(E(\bar{X}) = \) (empty field for result) oz

- Compare \(E(\bar{X})\) to \(\mu\).
  - Choices:
    - \(E(\bar{X}) < \mu\)
    - \(E(\bar{X}) = \mu\)
    - \(E(\bar{X}) > \mu\)

**(b) Determine the sampling distribution of the sample variance \(S^2\).**

- Table for \(S^2\):
  - \(s^2\): 0, 50, 200, 450
  - \(p(s^2)\): (empty fields to be filled by the user)

- Calculate \(E(S^2)\).
  - \(E(S^2) = \) (empty field for result)

- Compare \(E(S^2)\) to \(\sigma^2\).
  - Choices:
    - \(E(S^2) = \sigma^2\)
    - \(E(S^2) > \sigma^2\)
    - \(E(S^2) < \sigma^2\)
Transcribed Image Text:A particular brand of dishwasher soap is sold in three sizes: 30 oz, 40 oz, and 60 oz. Twenty percent of all purchasers select a 30-oz box, 50% choose a 40-oz box, and the remaining 30% choose a 60-oz box. Let \(X_1\) and \(X_2\) denote the package sizes selected by two independently selected purchasers. **(a) Determine the sampling distribution of \(\bar{X}\).** - Table for \(\bar{X}\): - \(\bar{x}\): 30, 35, 40, 45, 50, 60 - \(p(\bar{x})\): (empty fields to be filled by the user) - Calculate \(E(\bar{X})\). - \(E(\bar{X}) = \) (empty field for result) oz - Compare \(E(\bar{X})\) to \(\mu\). - Choices: - \(E(\bar{X}) < \mu\) - \(E(\bar{X}) = \mu\) - \(E(\bar{X}) > \mu\) **(b) Determine the sampling distribution of the sample variance \(S^2\).** - Table for \(S^2\): - \(s^2\): 0, 50, 200, 450 - \(p(s^2)\): (empty fields to be filled by the user) - Calculate \(E(S^2)\). - \(E(S^2) = \) (empty field for result) - Compare \(E(S^2)\) to \(\sigma^2\). - Choices: - \(E(S^2) = \sigma^2\) - \(E(S^2) > \sigma^2\) - \(E(S^2) < \sigma^2\)
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