
Boxplots, IQR, Range, Outliers, Standard Deviation
... • The spread of data is how “spread out” the data is or how close together. We use range, Interquartile Range (IQR), and Standard Deviation to measure the spread of a data set. • Today we will just talk about RANGE. (We will talk about IQR and SD in the coming days). ...
... • The spread of data is how “spread out” the data is or how close together. We use range, Interquartile Range (IQR), and Standard Deviation to measure the spread of a data set. • Today we will just talk about RANGE. (We will talk about IQR and SD in the coming days). ...
Central Limit Theorem (worksheet)
... Central Limit Theorem: How Does the Mean of a Sample Vary as the Sample Varies? Purpose of this class: In the future we want to learn about a whole population from a sample. For example, if you sample shoppers to see how much they will pay for a new item, what can you conclude? In order to draw conc ...
... Central Limit Theorem: How Does the Mean of a Sample Vary as the Sample Varies? Purpose of this class: In the future we want to learn about a whole population from a sample. For example, if you sample shoppers to see how much they will pay for a new item, what can you conclude? In order to draw conc ...
2002-09-10: Segregation Analysis I
... Segregation Ratio Distorition Definition: Segregation ratio distortion is a departure from expected segregation ratios. The purpose of segregation analysis is to detect significant segregation ratio distortion. A significant departure would suggest one of our our assumptions about the model wrong ...
... Segregation Ratio Distorition Definition: Segregation ratio distortion is a departure from expected segregation ratios. The purpose of segregation analysis is to detect significant segregation ratio distortion. A significant departure would suggest one of our our assumptions about the model wrong ...
Making Predictions Based on Theoretical Probability
... From the same bag of marbles (4 R, 3 Y, 3 G), one red marble is chosen and not returned into the bag. Then another marble is chosen. What is the probability of the 2nd marble chosen being red? Answer: Since the first red marble chosen is not retuned to the bag, there are only 9 marbles in the bag wh ...
... From the same bag of marbles (4 R, 3 Y, 3 G), one red marble is chosen and not returned into the bag. Then another marble is chosen. What is the probability of the 2nd marble chosen being red? Answer: Since the first red marble chosen is not retuned to the bag, there are only 9 marbles in the bag wh ...
The Central Limit Theorem
... • If we satisfy the CLT, then x̄ has a normal distribution and a known mean and standard deviation. • σx̄ tells us how precisely we can estimate µ using x̄. • Finally, we can characterize x̄’s sampling error! • Increase n to increase the accuracy of the estimate for µ. (increasing n decreases σx̄ ). ...
... • If we satisfy the CLT, then x̄ has a normal distribution and a known mean and standard deviation. • σx̄ tells us how precisely we can estimate µ using x̄. • Finally, we can characterize x̄’s sampling error! • Increase n to increase the accuracy of the estimate for µ. (increasing n decreases σx̄ ). ...
A General Procedure for Hypothesis Testing
... smaller than another, it does not mean that the two numbers are REALLY different from one another in a statistical way! ...
... smaller than another, it does not mean that the two numbers are REALLY different from one another in a statistical way! ...
Use of the SAS Macro Language in Developing Control Chart Limits
... Macro REPEATER implements steps 2 to 5 of II. Notice that REPEATER will rerun until a stable set of data for the standard deviation is obtained or until the number of tries exceeds a user-defined bound (in this case, 20). When REPEATER finishes, it calls STABLEMN t which implements steps 6 and 7 of ...
... Macro REPEATER implements steps 2 to 5 of II. Notice that REPEATER will rerun until a stable set of data for the standard deviation is obtained or until the number of tries exceeds a user-defined bound (in this case, 20). When REPEATER finishes, it calls STABLEMN t which implements steps 6 and 7 of ...