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?

An industrial psychologist is investigating the effects of different types of motivation on the performance of simulated clerical tasks. The fifteen subjects in the "individual motivation" sample are told that they will be rewarded according to how many tasks they successfully complete. The fifteen subjects in the "group motivation" sample are told they will be rewarded according to the average number of tasks completed by all the subjects in their sample. The number of tasks completed by each subject is included in the data below.

Enter the data in Excel and open it in JASP. Click on the Marital Status header cell and change the names to correspond with your data (1 = Married; 2 = Single; 3 = Other).

ID	Sex	Age	Motivation	Marital Status	Highest Level Of Education	Tasks Completed
1	Female	23	Individual	1	High School	11
2	Female	25	Individual	1	College	17
3	Female	29	Individual	1	Graduate	14
4	Female	30	Group	2	High School	10
5	Female	25	Individual	2	High School	10
6	Female	21	Group	1	College	15
7	Male	22	Group	1	High School	14
8	Male	19	Group	1	High School	8
9	Male	32	Group	2	Graduate	9
10	Male	46	Individual	3	High School	17
11	Male	50	Individual	1	High School	15
12	Male	21	Individual	1	College	10
13	Female	23	Group	2	College	14
14	Female	27	Individual	3	Graduate	8
15	Female	24	Group	2	College	6
16	Female	32	Individual	3	College	12
17	Female	25	Individual	2	High School	15
18	Female	36	Group	3	College	13
19	Male	33	Individual	3	Graduate	12
20	Male	24	Group	2	College	7
21	Male	22	Group	2	College	11
22	Male	28	Group	2	Graduate	13
23	Female	31	Individual	3	Graduate	9
24	Male	30	Individual	3	High School	16
25	Female	28	Group	2	Graduate	4
26	Male	26	Individual	2	High School	17
27	Male	18	Group	1	High School	10
28	Male	18	Individual	1	High School	12
29	Female	20	Group	1	High School	13
30	Male	40	Group	2	Graduate	19

ANALYSES TO BE CONDUCTED IN JASP