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Excel 2013 Statistical Analysis #63: Sampling Distribution of Xbar1 – Xbar2 & Standard Error
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Topics in this video:
1. (00:15) Introduction to Inference about Difference Between Two Population Means
2. (04:22) Introduction to Sampling Distribution of Xbar 1 – Xbar 2
3. (09:10) Reminder of how we built “Sampling Distribution of Xbar” from Chapter 7
4. (13:23) Build Sampling Distribution of Xbar 1 – Xbar 2 (Sampling Distribution of Sample Differences)
5. (16:24) Prove that the Population Difference is equal to “Mean of All The Sampling Differences”
6. (19:27) See that Plotting all the “Sampling Differences” yields a symmetric distribution and that it has less variation as compared to distribution of population differences.
7. (21:15) Prove that the formula for “Standard Deviation / Standard Error of the Sampling Distribution of Xbar1 – Xbar2” works
1. (00:15) Introduction to Inference about Difference Between Two Population Means
2. (04:22) Introduction to Sampling Distribution of Xbar 1 – Xbar 2
3. (09:10) Reminder of how we built “Sampling Distribution of Xbar” from Chapter 7
4. (13:23) Build Sampling Distribution of Xbar 1 – Xbar 2 (Sampling Distribution of Sample Differences)
5. (16:24) Prove that the Population Difference is equal to “Mean of All The Sampling Differences”
6. (19:27) See that Plotting all the “Sampling Differences” yields a symmetric distribution and that it has less variation as compared to distribution of population differences.
7. (21:15) Prove that the formula for “Standard Deviation / Standard Error of the Sampling Distribution of Xbar1 – Xbar2” works
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