# What can covariance be used for?

One use of co-variance is to study the correlation.

When we have sample data relating to two dependent variables, the co-variance becomes relevant.

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Covariance can be used to measure the degree to which two variables change together. It indicates the direction of the linear relationship between two variables. A positive covariance suggests that the variables tend to increase or decrease together, while a negative covariance indicates that one variable tends to increase as the other decreases. However, covariance does not provide information about the strength of the relationship between variables, as it is influenced by the scale of the variables. Therefore, it is often standardized to obtain the correlation coefficient, which measures the strength and direction of the linear relationship between variables on a scale from -1 to 1.

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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

- Given a normal distribution with u=20 and the standard deviation =2.5, how do you find the value of x that has (a) 25% of the distribution's area to the left and (b) 45% of the distributions area to the right?
- What is the variance of {-7, 12, 14, 8, -10, 0, 14}?
- How do you find the mean, median and mode of -500, 350, 475, -300, -500, 450, 425, -400?
- How do you create a box plot for the data set {1, 12, 2, 9, 2, 3, 7, 3, 3, 6)?
- Given the set: # {2,-1,-3,x,-3,2} #, for what x would the mean of the set be 3?

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