SOC 207: SPSS Assignment (20 Points) NAME______________________________

The following tables involve the analysis of survey respondents collected from college students. Here are the variables, and this is how they have been measured:

VARIABLE	Description	Categories	Measurement Level
Student	What is your class level?	1 = Freshman, 2 = Sophomore 3 = Junior, 4 = Senior	Ordinal
Gender	What is your Gender?	0 = Male, 1 = Female	Nominal
Major	What is your Major?	1 = Business 2 = Education 3 = Arts & Sciences 4 = Natural Sciences 5 = Undecided	Nominal
GPA	What is the student's GPA?	Scored between 0.0 and 4.0	Continuous
IQ	What is the student's IQ score?	Scored between 0 and 200	Continuous
Esteem	What is the student's self-esteem score?	Scored between 0 and 100	Continuous

Now, please read the following SPSS data in the tables below and answer these questions.

Using a Frequency Table: Variable = "Student"

What is your class level?
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Freshman	17	16.2	16.2	16.2
Sophomore	35	33.3	33.3	49.5
Junior	29	27.6	27.6	77.1
Senior	24	22.9	22.9	100.0
Total	105	100.0	100.0

1) How many students took this survey? ______________

2) How many students are juniors? _________________

3) What percentage of students are seniors? _________________

Exploring a Variable: Variable = "IQ"

Descriptives
	Statistic	Std. Error
IQ score of respondent	Mean	119.08	1.507
95% Confidence Interval for Mean	Lower Bound	116.09
Upper Bound	122.06
5% Trimmed Mean	118.71
Median	120.00
Variance	238.436
Std. Deviation	15.441
Minimum	92
Maximum	156
Range	64
Interquartile Range	25
Skewness	.291	.236
Kurtosis	-.740	.467

1) What is the Mean of IQ? __________________

2) What is the Median of IQ? __________________

3) What are the upper and lower bounds of the Confidence Interval? _______ and ______

4) What is the Standard Deviation of IQ? _________________

Reading a Chi-Square Test: IVAR = "Gender" & DVAR = "Major"

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	4.525a	4	.340
Likelihood Ratio	4.666	4	.323
Linear-by-Linear Association	.392	1	.531
N of Valid Cases	105
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 6.44.

What is the value of Chi-Square Test Statistic? ___________

Is the relationship significant with at least a 95% confidence level? _________

Reading a Pearson's r statistic: DVAR = "GPA" & IVAR = "IQ"

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.827a	.684	.680	.33703
a. Predictors: (Constant), IQ score of respondent

1) What is the value of Pearson's R between these two variables? __________

2) Do these variables move in the same direction, or different direction? _________

3) Is the strength of this relationship strong, moderate, weak, or zero? __________

Reading a correlation matrix: Variables "GPA", "IQ" & "Esteem"

Correlations
	What is your overall GPA?	IQ score of respondent	Self-Esteem score of respondent
What is your overall GPA?	Pearson Correlation	1	.827**	.773**
Sig. (2-tailed)		.000	.000
N	105	105	105
IQ score of respondent	Pearson Correlation	.827**	1	.781**
Sig. (2-tailed)	.000		.000
N	105	105	105
Self-Esteem score of respondent	Pearson Correlation	.773**	.781**	1
Sig. (2-tailed)	.000	.000
N	105	105	105
**. Correlation is significant at the 0.01 level (2-tailed).

1) What is the Pearson's R between "GPA" and "Esteem"? _________

2) Are we at least 95 percent confident that it is not = 0? _________

3) Do these variables move in the same direction, or different direction? _________

4) Is the strength of this relationship strong, moderate, weak, or zero? __________

5) What is the Pearson's R between "IQ" and "Esteem"? __________

6) Are we at least 95 percent confident that it is not = 0? __________

7) Do these variables move in the same direction, or different direction? _________

8) Is the strength of this relationship strong, moderate, weak, or zero? __________