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Accounting, Finance, SPSS
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Statistical Analysis on SPSS Data Set Accounting, Finance, SPSS Essay

Essay Instructions:

Some commonly employed statistical tests are the independent-samples t-test, paired-samples t-test, and One-Way ANOVA. In this assignment, you will practice conducting independent-samples t-tests, paired-samples t-tests, and One-Way ANOVAs from an SPSS data set.
General Requirements:
Use the following information to ensure successful completion of the assignment:
Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.
Access the document, "Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide" to complete the assignment.
Download the file "Census.sav" and open it with SPSS. Use the data to complete the assignment.
Download the file "SPSS_CUST.sav" and open it with SPSS. Use the data to complete the assignment.
Directions:
Locate the data set "Census.sav" and open it with SPSS. Follow the steps in section 7.14 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
Locate the data set "SPSS_CUST.sav" and open it with SPSS. Follow the steps in section 8.10 Learning Activity as written. Answer all of the questions in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
Locate the data set "Census.sav" and open it with SPSS. Follow the steps in section 9.20 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

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Statistical Analysis on SPSS Data Set
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Statistical Analysis on SPSS Data Set
Activity 7.14
Question one
Boxplot of Respondent Socioeconomic index by Gender
Looking at the Boxplot outcome, we can aver that there is a similarity in the distributions between the male and female with respect to the socio-economic index. The median for males is 42.20, while that for females is 38.90.
Boxplot of Age of Respondent by Gender
There is a similarity between the age of the respondent when related to gender. The median for males and females is the same. The Boxplot shows the similarity between the distributions by gender.
Question two
T-Test for socio-economic by gender

RESPONDENTS SEX

N

Mean

Std. Deviation

Std. Error Mean

RESPONDENT SOCIO-ECONOMIC INDEX

MALE

887

49.109

19.4399

.6527


FEMALE

1024

48.458

19.5677

.6115

LINK Excel.Sheet.12 "Book1" "Sheet5!R9C4:R13C14" \a \f 4 \h \* MERGEFORMAT
 

Levene's Test for Equality of Variances

t-test for Equality of Means


F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference









Lower

Upper

RESPONDENT SOCIO-ECONOMIC INDEX

Equal variances assumed

.256

.613

.728

1909

.467

.6515

.8948

-1.1034

2.4065


Equal variances not assumed

 

 

.728

1873.685

.466

.6515

.8944

-1.1026

2.4057

The Levene's Test for Equality of Variances is 0.256, and the P-value is 0.467 for the T-test. Therefore, we don't reject the null hypothesis and thus conclude that there is no significant difference in the mean of a respondent socio-economic index between male and female.
T-Test for Age of the respondent by gender

RESPONDENTS SEX


N

Mean

Std. Deviation

Std. Error Mean

AGE OF RESPONDENT

MALE


926

47.45

16.548

.544


FEMALE


1087

47.93

18.011

.546

 

Levene's Test for Equality of Variances

t-test for Equality of Means


F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference









Lower

Upper

AGE OF RESPONDENT

Equal variances assumed

9.970

.002

-.626

2011

.531

-.486

.776

-2.008

1.036


Equal variances not assumed

 

 

-.630

1999.518

.529

-.486

.771

-1.998

1.026

The P-value is 0.531 which is greater than 0.05 thus we don't reject the null hypothesis and thus conclude that is no signif...
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