a-2) Calculate the mean and standard deviation for the difference. (Round your mean answer to 1 decimal place and standard deviation answer to 4 decimal places.) Mean: Standard Deviation:
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
An experimental surgical procedure is being studied as an alternative to the old method. Both methods are considered safe. Five surgeons perform the operation on two patients matched by age, sex, and other relevant factors, with the results shown. The time to complete the surgery (in minutes) is recorded.
Surgeon 1 Surgeon 2 Surgeon 3 Surgeon 4 Surgeon 5 Old way 37 51 25 41 55 New way 29 43 21 31 59 Click here for the Excel Data File (a-1)
Calculate the difference between the new and the old ways for the data given below. Use α = .010. (Negative values should be indicated by a minus sign.) X1 X2 X1 - X2 Surgeon Old Way New Way Difference 1 37 29 8 2 51 43 8 3 25 21 4 4 41 31 10 5 55 59
(a-2) Calculate the
Mean:
Standard Deviation:
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