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b.lect20

# b.lect20 - Outline Statistics as Estimators Lecture 20...

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Outline Statistics as Estimators Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and Estimators Michael Akritas Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and

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Outline Statistics as Estimators Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and
Outline Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and

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Outline Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Roughly speaking, the (1 - α )100th sample percentile separates the part having the (1 - α )100% smaller values, from that which has the α 100% larger values. Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and
Outline Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Roughly speaking, the (1 - α )100th sample percentile separates the part having the (1 - α )100% smaller values, from that which has the α 100% larger values. For example, the 90th sample percentile separates the largest 10% from the lower 90% values in the data set. Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and

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Outline Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Roughly speaking, the (1 - α )100th sample percentile separates the part having the (1 - α )100% smaller values, from that which has the α 100% larger values. For example, the 90th sample percentile separates the largest 10% from the lower 90% values in the data set. The 50th sample percentile is also called the sample median . Michael Akritas Lecture 20 Chapter 6: Empirical Statistics: Data Graphics and
Outline Statistics as Estimators Sample Percentiles Pearson’s Sample Correlation Coefficient Spearman’s Rank Correlation Coefficient The Regression Function Roughly speaking, the (1 - α )100th sample percentile separates the part having the (1 - α )100% smaller values, from that which has the α 100% larger values. For example, the 90th sample percentile separates the largest 10% from the lower 90% values in the data set. The 50th sample percentile is also called the sample median . The 25th, the 50th and the 75th sample percentiles are also called sample quartiles . The 25th and 75th percentiles are the lower quartile and upper quartile , respectively.

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• Spring '00
• Akritas
• Statistics, Correlation Coefficient, Pearson product-moment correlation coefficient, Covariance and correlation, Spearman's rank correlation coefficient, Michael Akritas

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