Math 220, Fall 2008, Garren

(A) At least twice on your output, use SPSS to write your name.

(B) Using the data from exercise #2.101c on p. 84, use SPSS to do the following:

(1) Enter the numerical data (not the data on "Cereal"), and label the variable as "Sugar". (You will need to print this data set.)

(2) Using SPSS, compute the sample mean, sample median, sample standard deviation, sample variance, sample range, and interquartile range.

(3) Circle and label the statistics computed in part (B2).

(C) In SPSS enter the numerical data from exercise #3.67 on p. 141. Label the x-variable as "Weight" and the y-variable as "Mileage". (You will need to print this data set.)

(1) Using SPSS, construct a scatterplot of the data.

(2) Using SPSS, plot the fitted linear regression line on the scatterplot.

(3) Using SPSS, determine the slope and intercept of the fitted linear regression line, and circle and label your results.

(4) Using SPSS, determine the sample correlation and the proportional reduction in error. Circle and label these numbers.

(D) The order of your output should be approximately the same order in which the problems were assigned.

(E) Although you are allowed to receive help from others, list the names of those who helped you and the names of those whom you helped, as well as what type of help was given. If you did not give or receive help, then write "No help" on the first page.

(F) Staple your work together.

Return to Dr. Garren's home page.