Chi-Square Goodness of Fit Test. Use data set 2. In the population from which the sample was drawn, 20%

Chi-Square Goodness of Fit Test. Use data set 2. In the population from which the sample was drawn, 20% of employees are clerical, 50% are technical, and 30% are professional. Determine whether or not the sample drawn conforms to these values. Enter the category values (1,2,3) and relative percentages (20,50,30). The variable category is nominal.
Chi-Square Test for Independence. A researcher wants to know if individuals are more likely to help in an emergency when they are indoors or when they are outdoors. Of 28 participants who were outdoors, 19 helped and 9 did not. Of 23 participants who were indoors, 8 helped and 15 did not. Enter these data, and find out if helping behavior is affected by the environment.
Mann-Whitney U test. Use data set 1. Determine if younger participants (less than age 26) have significantly lower math scores than older participants. Create a new ordinal variable representing each age group.
Wilcoxon test. Use the RACE.sav data to determine whether or not the outcome of short distance races is different from that of medium distance races.
Kruskal-Wallis H test. Use data set 2. Job classification is ordinal. Determine if males and females have differing levels of job classifications. Clerical=1, Technical=2, and Professional=3.
Friedman test. Use data set 3. If anxiety is measured on an ordinal scale, determine if anxiety levels changed over time.

Data Set 1:

You have conducted a study in which you collected data from 23 participants. You gave each subject a test to measure math skills (Skill), where the higher scores indicated a higher skill level. The data are shown below.

Measured on a nominal scale

Sex: 1=male, 2=female

Marital status: 1=single, 2=married, 3=divorced

Sex Age Marital Skill

M	23	Single	34
F	35	Married	40
F	40	Divorced	38
M	19	Single	20
M	28	Married	30
F	35	Divorced	40
F	20	Single	38
F	29	Single	47
M	29	Married	26
M	40	Married	24
F	24	Single	45
M	23	Single	37
F	18	Single	44
M	21	Single	38
M	50	Divorced	32
F	25	Single	29
F	20	Single	38
M	24	Single	19
F	37	Married	29
M	42	Married	42
M	35	Married	59
M	23	Single	45
F	40	Divorced	20

Data Set 2:

A survey of employees is conducted. Each employee provides the information given below.

Sex: male=1, female=2

Classification Key: Clerical=1, Technical=2, Professional=3

Measured on a nominal scale.

Salary	Years of Service	Sex	Classification	Education
35,000	8	M	T	14
18,000	4	F	C	10
20,000	1	M	P	16
50,000	20	F	P	16
38,000	6	M	P	20
20,000	6	F	C	12
75,000	17	M	P	20
40,000	4	F	T	12
30,000	8	M	T	14
22,000	15	F	C	12
23,000	16	M	C	12
45,000	2	F	P	16

Data Set 3:

Participants who have phobias are given one of three treatments (condition). Their anxiety level (1-10) is measured during three intervals-before treatment (anxpre), one hour after treatment (anx1hr), and again four hours after treatment (anx4hr). The results are shown below.

Before treatment= anxpre

One hour after treatment= anx1hr

Four hours after treatment=anx4hr

Measured on a nominal scale.