document.write( "Question 1190594: A population consists of (3,8,10,15). Consider all possible sample size 2 that can be drawn with replacement.\r
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document.write( "-what is the standard deviation of the sampling distribution of means? =\r
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document.write( "-what is the population mean? =\r
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document.write( "-what is the population standard deviation? =\r
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document.write( "-what is the population variance? =\r
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document.write( "-what is the variance of the sampling distribution of means? =\r
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document.write( "-what is the mean of the sampling distribution of means? =\r
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document.write( "A population consists of (3,8,10,15). Consider all possible sample size
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document.write( " 2 that can be drawn without replacement.\r
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document.write( "-what is the variance of the sampling distribution of means? =\r
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document.write( "-what is the standard deviation of the sampling distribution of means? =\r
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document.write( "-what is the mean of the sampling distribution of means? =
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Algebra.Com's Answer #849246 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! Here's how to calculate the requested values for both scenarios (with and without replacement):\r \n" ); document.write( "\n" ); document.write( "**Scenario 1: With Replacement**\r \n" ); document.write( "\n" ); document.write( "1. **Population Mean (μ):** \n" ); document.write( " μ = (3 + 8 + 10 + 15) / 4 = 36 / 4 = 9\r \n" ); document.write( "\n" ); document.write( "2. **Population Variance (σ²):** \n" ); document.write( " σ² = [(3-9)² + (8-9)² + (10-9)² + (15-9)²] / 4 \n" ); document.write( " σ² = [36 + 1 + 1 + 36] / 4 = 74 / 4 = 18.5\r \n" ); document.write( "\n" ); document.write( "3. **Population Standard Deviation (σ):** \n" ); document.write( " σ = √σ² = √18.5 ≈ 4.3\r \n" ); document.write( "\n" ); document.write( "4. **Variance of the Sampling Distribution of Means:** \n" ); document.write( " When sampling with replacement, the variance of the sampling distribution of means (σₓ̄²) is given by: \n" ); document.write( " σₓ̄² = σ² / n where n is the sample size. \n" ); document.write( " σₓ̄² = 18.5 / 2 = 9.25\r \n" ); document.write( "\n" ); document.write( "5. **Standard Deviation of the Sampling Distribution of Means (Standard Error):** \n" ); document.write( " This is the square root of the variance of the sampling distribution: \n" ); document.write( " σₓ̄ = √σₓ̄² = √9.25 ≈ 3.04\r \n" ); document.write( "\n" ); document.write( "6. **Mean of the Sampling Distribution of Means (μₓ̄):** \n" ); document.write( " When sampling with replacement, the mean of the sampling distribution of means is equal to the population mean: \n" ); document.write( " μₓ̄ = μ = 9\r \n" ); document.write( "\n" ); document.write( "**Scenario 2: Without Replacement**\r \n" ); document.write( "\n" ); document.write( "1. **Population Mean (μ):** (Same as before) \n" ); document.write( " μ = 9\r \n" ); document.write( "\n" ); document.write( "2. **Population Variance (σ²):** (Same as before) \n" ); document.write( " σ² = 18.5\r \n" ); document.write( "\n" ); document.write( "3. **Population Standard Deviation (σ):** (Same as before) \n" ); document.write( " σ ≈ 4.3\r \n" ); document.write( "\n" ); document.write( "4. **Variance of the Sampling Distribution of Means:** \n" ); document.write( " When sampling *without* replacement, the variance of the sampling distribution is adjusted by a finite population correction factor: \n" ); document.write( " σₓ̄² = (σ² / n) * [(N - n) / (N - 1)] \n" ); document.write( " Where N is the population size. \n" ); document.write( " σₓ̄² = (18.5 / 2) * [(4 - 2) / (4 - 1)] \n" ); document.write( " σₓ̄² = 9.25 * (2/3) = 6.17 (approximately)\r \n" ); document.write( "\n" ); document.write( "5. **Standard Deviation of the Sampling Distribution of Means (Standard Error):** \n" ); document.write( " σₓ̄ = √σₓ̄² = √6.17 ≈ 2.48\r \n" ); document.write( "\n" ); document.write( "6. **Mean of the Sampling Distribution of Means (μₓ̄):** \n" ); document.write( " Even when sampling without replacement, the mean of the sampling distribution of means is still equal to the population mean: \n" ); document.write( " μₓ̄ = μ = 9\r \n" ); document.write( "\n" ); document.write( "**Summary Table:**\r \n" ); document.write( "\n" ); document.write( "| Statistic | With Replacement | Without Replacement | \n" ); document.write( "|---|---|---| \n" ); document.write( "| Population Mean (μ) | 9 | 9 | \n" ); document.write( "| Population Variance (σ²) | 18.5 | 18.5 | \n" ); document.write( "| Population Standard Deviation (σ) | 4.3 | 4.3 | \n" ); document.write( "| Variance of Sampling Distribution (σₓ̄²) | 9.25 | 6.17 | \n" ); document.write( "| Standard Error of the Mean (σₓ̄) | 3.04 | 2.48 | \n" ); document.write( "| Mean of Sampling Distribution (μₓ̄) | 9 | 9 | \n" ); document.write( " \n" ); document.write( " |