## CHECK THESE SAMPLES OF SPSS Statistics Project

... political party, level of trust in British politicians and opinion regarding effectiveness of voting.
Alternative Hypothesis (Ha): the vote concerning the chosen political party does not depend on the mentioned independent variables.
Regression analysis is conducted on the data provided where variable vote is the dependent variable and all remaining variables are independent variables. The following regression table is generated from **SPSS**.
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
B
Std. Error
1
(Constant)
.606
.840
.721
.478
Gender
.351
.366
.248
.959
.348
age
-.010
.011
-.271
-.945
.355
interestelection
.105
.188
.134
.556
.584...

7 Pages(1750 words)Statistics Project

... (2003).
References
Chen, D. (2003). A classification system for metaphors about teaching. Journal of Physical Education, Recreation and Dance, 74(2), 24-31.***
Garson, G. D. (2009a). Factor analysis. Retrieved December 15, 2005, from: http://faculty.chass.ncsu.edu/garson/PA765/factor.htm**
Garson, G. D. (2009b). Factor analysis: **SPSS** output. Retrieved December 15, 2005, from: http://faculty.chass.ncsu.edu/garson/PA765/factoroutput.htm**
Nikitina, L. & Furuoka, F. (2008). Measuring metaphors: a factor analysis of students’ conceptions of language teachers. Metaphorik.de, 15(2), 161-180*.
Oxford, R., Tomlinson, S., Barcelos, A., Harrington, C., Lavine, R. Z., Saleh, A., et. al. (1998). Clashing metaphors about classroom teachers: toward...

2 Pages(500 words)Statistics Project

...jects walk further with assistive device? and the task also requires the use of a paired sample T-test. A paired sample T-test comparison points out that the mean distance covered with an assistive device is higher compared to that covered with a non assistive device(as shown in table 1). The P value got from the paired sample T-test is 0.03 and it is considered significant for it is below the 0.05 level. The means for distance 1(without an assistive device) and distance 2 (with an assistive device) are 283.30 and 296.63 respectively. The percentage difference of these means is shown in chart 2 below
Chart 2: Percentage difference of mean distance covered
Reference
Barr, C. (n.d). Basic Research Methods. Introduction to **SPSS**. Tutorial...

2 Pages(500 words)Statistics Project

...**SPSS** Homework Q Levels of measurements The following table shows the variables with their corresponding levels of measurement. Table Variablesand their levels of measurement
Variable
Level of measurement
Rationale
Race
Nominal
Race is an identity that does not have quantity difference between its elements. The nominal scale that only identifies variables is therefore its appropriate measure.
Grade level
Interval
Level of education has a magnitude property with equidistant measure as grades have a difference of a year each. It therefore coincides with interval level of measurement that measured the two properties of direction and differences between equal intervals.
Offence
Ordinal
Different offences exist with different degrees...

3 Pages(750 words)Statistics Project

...e frequency of meals and their nutritional composition. On one hand respondents answered question on the frequency of consuming health foods such as fruits, vegetables, grains, and beans, as opposed to fatty foods, salty foods, sugary foods, meats, dairy products among others. This type of assessment where there is a deep emphasis on nutritional screening lays bare the impacts of certain nutritional classes over others. It is the core of this study and the administration of such as study through questionnaires helps the researcher obtain accurate, credible and verifiable information (Huang et al, 2003). Moreover, the subsequent method of analyzing the data obtained through statistical software such as **SPSS** and Chi-squared tests helps...

10 Pages(2500 words)Statistics Project

...://www.physics.csbsju.edu/stats/anova.html
https://statistics.laerd.com/**spss**-tutorials/one-way-anova-using-**spss**-statistics.php
https://people.richland.edu/james/lecture/m170/ch13-1wy.html
xxxxx
Project description
In this assignment we will analyze the pooled data which we collected last week Please analyze the group data from Experiment II using **SPSS**. Include data inspection, description, and a one-way ANOVA with supporting graphs (error bar groups are best) showing confidence intervals. Save your data file. Save your output file. Send both to me as attachments.

This data is from a study that was conducted about does eyewitness, no witness and a discredited witness due...

2 Pages(500 words)Statistics Project

... independent variables in this study? What is the dependent variable?
Independent variable:
Study environment
Sex
Dependent variable:
Academic performance
2. Why is a two-way between-subjects factorial ANOVA the correct statistic to use for this research design?
Then two‐way between subjects ANOVA is used to analyze the results of a between subjects factorial design with two independent variables (factors). The two‐way ANOVA tests three hypotheses: the main effects for each of the two factors and the interaction effect
3. Did you find any errors that the researcher made when setting up the **SPSS** data file (Remember to check the variable view)? If so, what did you find? How did you correct it?
No errors are observed in setting...

1 Pages(250 words)Statistics Project

... < 0.001), item 17 (ρ = 0.621, p < 0.001), item 18 (ρ = 0.303, p < 0.001), and item 19 (ρ = 0.709, p < 0.001).
References
Allingham, D. & Rayner, J. (2011). Two-sample testing for equality of variances: Proceedings of the fourth annual ASEARC Conference, 17th – 18th February, 2011. University of Western Sydney, Paramatta, Australia.
Lee, P. A. (2013). Independent samples t test and dependent samples t test. San Jose State University.
Wuensch, K. L. (2014). Binary logistic regression with **SPSS**. East Carolina University. Retrieved from core.ecu.edu/psyc/wuenschk/MV/Multreg/Logistic-SPSS.PDF. (Accessed 29th May, 2014)....

2 Pages(500 words)Statistics Project

...bution of working women’s life stress at ages 40 & 60.
4. Conducting paired-samples t tests to evaluate whether occupational stress probably declines as women get older, while interpersonal life stress may increase or stay the same
First we have to clearly outline the hypothesis under study;
For occupational stress
H0: Occupational stress does not decline as women get older
H1: Occupational stress declines as women get older
For interpersonal life stress
H0: Interpersonal life stress levels do not increase or stay the same as women get older
H1: Interpersonal life stress levels increase or stay the same as women get older
Below is the **SPSS** output of the analysis;
Interpersonal and Occupational Life Stress Scores for Women 40 &...

4 Pages(1000 words)Statistics Project

.... Deviation
Std. Error Mean
Total Identity Theft
7
24.4286
14.32780
5.41540
Existing Account
7
19.7143
10.29100
3.88963
New Account
7
6.8571
4.25944
1.60992
Personal Information
7
5.4286
4.89412
1.84980
Multiple Types
7
9.5714
6.07885
2.29759
From the **SPSS** output on one-sample statistics, the mean value for all victims of identity theft irrespective of the specific characteristic is 24.429 with a standard deviation of 14.327.
One-Sample Test
Test Value = 0
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
Total Identity Theft
4.511
6
.004
24.42857
11.1776
37.6796
Existing Account
5.068
6
.002
19.71429
10.1967
29.2319
New Account
4.259
6
.005
6.85714
2.9178
10.7965
Personal...

2 Pages(500 words)Statistics Project