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PART 2. The researcher also wants to look at the role age plays in tasks completion. She summarizes the data as young (1) (less than

PART 2.

The researcher also wants to look at the role age plays in tasks completion. She summarizes the data as young (1) (less than 25), average (2) (25 - 35), old (3) (35+).

Go back to the original excel file and highlight (clicking the letter on top) and filter the data from lowest to highest by clicking the A-to-Z button and select "ascending". In the column to the right on the data you can code all data less than 25 as Stage 1, between 25 and 35 calories as Stage 2, and data more than 35 as Stage 3.

Bring the CSV file into JASP and rename the dummy code to 1 as Stage 1, 2 as Stage 2, and 3 as Stage 3 by clicking on the variable name at the top of the data. Click on each number and give appropriate name.

  1. Construct a histogram with normal curve on these data in JASP.
  2. Click on the Descriptives function and move the age data into the variable box and split it by your category variable. Select the frequency box to see the frequencies of each age given. Which group is most frequently represented?
  3. Create a box plot of the categorical data by going into plots choosing Boxplots and then Boxplot element. Looking at the boxplots, which data set is the most normally distributed and what aspects of the plot did you use to determine this?
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D Sex Age Motivation Martial Status Highest Level of Tasks Completed Stages Education 27 Male 18 Group 1 High school 10 28 Male 18 Individual 1 High school 12 8 Male 19 Group 1 High school 8 29 Female 20 Group High school 13 15 6 Female 21 Group 1 College 10 12 Male 21 Individual 1 College 7 Male 22 Group 1 High school 14 21 Male 22 Group 2 College 11 1 Female 23 Individual 1 High school 11 13 Female 23 Group College 14 15 Female 24 Group 2 College 6 20 Male 24 Group 2 College 2 Female 25 Individual 1 College 17 Female 25 Individual 2 High school 10 17 Female 25 Individual 2 High school 15 26 Male 26 Individual 2 High school 17 14 Female 27 Individual 3 Graduate 8 22 Male 28 Group 2 Graduate 25 Female 28 Group Graduate 3 Female 29 Individual 1 Graduate Female 2 High school W W W W N N N N N N N N N N N N N N - 30 Group 24 Male 30 Individual 3 High school 23 Female 31 Individual 3 Graduate 9 Male 32 Group 2 Graduate 6 Female 32 Individual 3 College 19 Male 33 Individual 3 Graduate Female 36 Group 3 College 30 Male 10 Group 2 Graduate 10 Male 16 Individual 3 High school 11 Male 50 Individual 1 High school 15

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