5: Sometimes a value that is much larger or smaller than the rest of the data...

 

Transcribed Image Text:

5: Sometimes a value that is much larger or smaller than the rest of the data (called an outlier) can throw off the mean. In order to handle this, sometimes the minimum and maximum values from a data set are discarded before the mean is computed. Write a function that will return the mean of the values in a vector, not including the outliers. Assume that the values in the vector are unique. It is okay to use the built-in mean function. To test this, create a vector of 10 random integers, each in the range from 0 to 50, and pass this vector to the function. QUESTION 6: Write a local function in your script that will receive data points in the form of x and y vectors. If the lengths of the vectors are not the same, then they can't represent data points, so an error message should be printed. Otherwise, the function will fit a polynomial of a random degree through the points and will plot the points and the resulting curve with a title specifying the degree of the polynomial. The degree of the polynomial must be less than the number of data points, n, so the function must generate a random integer in the range from 1 to n-1 for the polynomial degree. 5: Sometimes a value that is much larger or smaller than the rest of the data (called an outlier) can throw off the mean. In order to handle this, sometimes the minimum and maximum values from a data set are discarded before the mean is computed. Write a function that will return the mean of the values in a vector, not including the outliers. Assume that the values in the vector are unique. It is okay to use the built-in mean function. To test this, create a vector of 10 random integers, each in the range from 0 to 50, and pass this vector to the function. QUESTION 6: Write a local function in your script that will receive data points in the form of x and y vectors. If the lengths of the vectors are not the same, then they can't represent data points, so an error message should be printed. Otherwise, the function will fit a polynomial of a random degree through the points and will plot the points and the resulting curve with a title specifying the degree of the polynomial. The degree of the polynomial must be less than the number of data points, n, so the function must generate a random integer in the range from 1 to n-1 for the polynomial degree.