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An urban planner was tasked with recording the walking speeds (in miles per hour) of people at a downtown government center. He recorded walking speeds of the same individuals over a period of 5 days. A sample of the data is provided below along with the variable information. There are three variables. You are to set up a database in SPSS and then use the Compute Variablefeature to create a fourth variable called “avgspeed.” There are five cases: Variable 1: speed1 has the label of 1-walking speed with speeds of 3.20, 3.18, 1.40, 3.26, and 2.57. Variable 2: speed2 has the label of 2-walking speed with speeds of 3.34, 3.61, 2.10, 3.12, and 2.82. Variable 3: speed3 has the label of 3-walking speed with speeds of 3.25, 3.24, 1.97, 3.41, and 2.98. Save the database, which has the new variable (“avgspeed”) as speed—you may use it in future review exercises. 2. Use the data from the variable (“avgspeed”) created in the previous exercise to recode the values into a nominal (string) variable. Your task is to use SPSS’s Recode into Different Variables feature and form two categories for the average walking speeds of the individuals. The two categories are based on the average speed of 2.9 miles per hour for all walkers. All speeds above the mean are to be classified as Fast; those below the mean are classified as Slow. You will create a new nominal or string variable called “catspeed.”

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Requirement:

• For each question, please submit the original SPSS output file and an identical

(the exactly same) pdf file, using File-Export-Export as pdf. Other formats other

than SPSS output file and PDF file will not be accepted.

PART I

Exercise: Working with Data and Variables (10%)

1. An urban planner was tasked with recording the walking speeds (in miles per hour) of

people at a downtown government center. He recorded walking speeds of the same

individuals over a period of 5 days. A sample of the data is provided below along with

the variable information. There are three variables. You are to set up a database in

SPSS and then use the Compute Variablefeature to create a fourth variable called

“avgspeed.” There are five cases: Variable 1: speed1 has the label of 1-walking

speed with speeds of 3.20, 3.18, 1.40, 3.26, and 2.57. Variable 2: speed2 has the label

of 2-walking speed with speeds of 3.34, 3.61, 2.10, 3.12, and 2.82. Variable

3: speed3 has the label of 3-walking speed with speeds of 3.25, 3.24, 1.97, 3.41, and

2.98. Save the database, which has the new variable (“avgspeed”) as speed—you may

use it in future review exercises.

2. Use the data from the variable (“avgspeed”) created in the previous exercise to recode

the values into a nominal (string) variable. Your task is to use SPSS’s Recode into

Different Variables feature and form two categories for the average walking speeds of

the individuals. The two categories are based on the average speed of 2.9 miles per

hour for all walkers. All speeds above the mean are to be classified as Fast; those

below the mean are classified as Slow. You will create a new nominal or string

variable called “catspeed.”

3. You have been given the following scale data (test scores): 100, 109, 114, 118, 125,

135, 135, 138, 139, and 140. You must set up a database in SPSS and then transform

the data using the Compute Variable and arithmetic functions to calculate new

variables giving the…

Attachments:

Exercises-usi….pdf