## CHECK THESE SAMPLES OF What is SPSS

...? List of Tables Table Descriptive Statistics of Variable 3 Table 2 Descriptive Statistics of Variable 2 5 List of Figures Figure Histogram of Variable 1 4 Figure 2 : Histogram of Variable 2 5 Figure 3 : Scatter Plot Between Variable 1 and Variable 2 6 **SPSS** Exercise **SPSS**, developed by IBM and officially known as IBM **SPSS** Software, is statistical software used for predictive analysis. This exercise was carried out to get familiarization with use of **SPSS** in data generation and statistical analysis. The data generated using **SPSS** is attached as appendix ‘A’ to this report. **SPSS** was used to carry out the descriptive analysis of the data generated for two variables each having a sample size of 30 i.e., N=30 as shown below in table 1. According...

3 Pages(750 words)Essay

...RESULTS This section provides the statistical analysis and results of the data gathered as well the interpretations. **SPSS** is the statistical package used for the analysis. Two tasks were defined to compare the usage and importance given to the English language in private and state schools. The method of data collection is through an adaptation of a questionnaire about the learning and teaching of English vocabulary. The variables used in the study were chosen to satisfy the research hypotheses. Few variables have been derived from the original variables. The adaption includes the research questions, hypotheses and methodology. The study is reduced to the involvement of only two ordinal variables and hence statistical designs using two...

5 Pages(1250 words)Assignment

... Due: PART ONE There is a relationship between the overall quality as an and the overall quality.P-value=0.000<0.01 (level of significance). We reject the null hypothesis and conclude that there exists a relationship between the two variables.
Table 1: Correlations
Overall quality as an instructor
Overall course quality
Overall quality as an instructor
Pearson Correlation
1
.638**
Sig. (2-tailed)
.000
N
50
50
Overall course quality
Pearson Correlation
.638**
1
Sig. (2-tailed)
.000
N
50
50
**. Correlation is significant at the 0.01 level (2-tailed).
Just like in table 1, there is a relationship between the number of publications and the number of times cited by other authors overall. P-value=0.000<0.01 (level of significance). We... Due: PART ONE There is a relationship between the overall quality as an and the overall...

1 Pages(250 words)Assignment

...PY2008 Assignment s: Appendices will be accepted in either word or **SPSS** form, and as either partial or full copies of the outputs. Partial outputs will be accepted so long as the most relevant tables are present, as specified in individual questions below. When awarding marks for the appendices, the marker may use their own judgment regarding whether the appendices attached provide sufficient evidence that the student entered the data and performed the analyses correctly.
Rounding answers to either 2 or 3 decimal places will be accepted as valid.
p-values may be reported as exact figures, or with reference to appropriate thresholds. For example if p=.033, the student may report either p=.033 or p<.05; both are acceptable. Thresholds must...

4 Pages(1000 words)Essay

...**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

Study hypothesis: The listed indicators of health can be used to predict vulnerability to cranial and post-cranial traumatic injuries. Listed variables

Dependent variables

pcvf = perimortem cranial vault fracture (0/1 or more)

Independent variables

cribs = cribra orbitalia score (0=absent, 1=1 orbit affected, 2=2 orbits affected)

ncan = number of scorable canine teeth (maximum of 4)

ehyc = number of hypoplastic canine teeth (maximum of 4)

n14lb = number of long bones present (maximum of 14)

fr14lb = number of long bones with traumatic fractures (maximum of 14)

rpfr = parry fracture of right ulna (0=none, 1=fracture)

lpfr = parry fracture of left ulna (0=none, 1=fracture)

ptib = number of tibias wi...

2 Pages(500 words)Assignment

... ONLY study in the environment to which they were assigned during the research period. At the end of the 7-week research period, mid-term GPA was computed for each student. A change score was computed for each student: each students spring midterm GPA was subtracted from his or her GPA for the preceding fall semester. The difference was each students GPA Improvement score. The GPA improvement score was used to measure academic performance.
Directions:
Using the **SPSS** 2 × 3 ANOVA data file for Module 4 (located in Topic Materials), answer the following questions. NOTE: Helpful hints are provided here for you to use while answering these questions. There is no separate answer sheet/guide to use while doing this assignment.
1. What are the two...

1 Pages(250 words)Statistics Project

...**SPSS** MARKETING PROJECT Results & Findings Demographics The study aimed to have a 50:50 representation however; more male (approximately 70%) took part in this survey. The ratio of male to female respondents was thus 7:3. The figure below shows the representation of study participants by gender.
In terms of age distribution, the majority of the respondents interviewed (41.2%) were aged between 35-55 years old, while 29.3% of those interviewed were aged above 55 years old while 28.3 were aged below 35 years old.
Age_15
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Under 35
227
28.3
28.9
28.9
35-55
324
40.4
41.2
70.1
Over 55
235
29.3
29.9
100.0
Total
786
98.1
100.0
Missing
System
15
1.9
Total
801
100.0
In terms of age and gender...

8 Pages(2000 words)Assignment

... **SPSS** SURVEY DESIGN
1. Evaluation of Questionnaire Design
The research is associated with three objectives as far as the evaluation of the sports quality is concerned. The first objective is to evaluate the perception of learners on the quality of the sports services provided at the university sports center. The second aim of the research is to assess the areas that are important among the learners as far as the sports services and the sports center are concerned. Finally, the objective of the research is to provide a number of recommendations on areas that should be improved as far as the quality of the physical facilities and services are concerned.
The data for this report was collected using a standardized questionnaire... SURVEY...

12 Pages(3000 words)Assignment

...**SPSS** Problems for Grade **SPSS** Problems for Grade The following table shows assets and sales for 16 large travelcorporations. Solve the following questions by using assets as X variable (5 points).
Require:
a) Draw a regression plot of the X and Y values
b) Calculate the least squares regression equation and explain the equation
From the co-efficient table, a = 2.289 and b = 0.765. Therefore, lease squares regression equation is:
Y = 2.289 + 0.765 X
The b value of 0.765 means that for each increase in the number of assets the total sales increase by 0.765.
The (a) value of 2.289 is the point where the equation crosses the Y-axis.
c) Calculate the correlation coefficient (r...

5 Pages(1250 words)Essay

... that one event will be rejected at 99.4%. This error can be controlled by using Tukey HSD. As shown in the table 2.8 and 2.9 below.
7.
Vicky conducted a study to evaluate time fathers spend playing with there disabled children. The study was analysed on **SPSS** and a two – way ANOVA was conducted to evaluate their difference in groups, according to gender and disability, and the time spend playing with the kid by their fathers. The population set was 60, the average time spend was 4.63 and a standard deviation of 2.47 as presented in Table 2.2 above.
Table 2.4 shows a F(2,54) = 27.140, p < .000, Eta square = .501 indicating as disability significant effect. F(1,54) = .232 with a p-value = .682 and Eta Sq = .004 indicating gender...

4 Pages(1000 words)Assignment

...Solving Regression Problems Using **SPSS** Solving Regression Problems Using **SPSS** a. Variation in ice cream sales accounted by the model:
“R Square” represents the coefficient of determination, which we interpret as the percentage of variation in the number of sales (Y) that can be explained by temperature variations (X). From our analysis, R Square = 0.966, which indicates that 96.6% of the variance in ice cream sales can be explained by the average temperature. Figure 1 below shows R Squared = 0.965 (96.6%).
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.983a
.966
.965
.12115
a. Predictors: (Constant), Temp
Figure 1: Regression Model Summary
However, ‘Adjusted R Square” is a robust diagnostic tool... Regression...

4 Pages(1000 words)Coursework

...TWO WAY Analysis of Variance using **SPSS** TWO WAY Analysis of Variance using **SPSS** Introduction In this study, anexperiment is carried out to determine the effectiveness of advertising a particular product with new local TV stations. To determine if there is significant difference in the mean comparison, it advisable to use the analysis of variance and if there is any significant difference we use the mean comparison procedure. In different parts of the country, advertisements are placed with either the local TV or a local radio station. The length of the advertisements is characterized as short, medium or long. Each combination of media and length is tested in four localities. The observed result is the level of sales in that locality...

3 Pages(750 words)Essay

...MRes Business and Management, BQ7805 Advanced Quantitative Research Advanced quantitative research articles The two research methods that we will be looking at are Partial least squares path modeling (PLS-SEM) and exploratory factor analysis (EFA). The first method, PLS-SEM, was utilized in the research article “Influences of gender and product type on online purchasing” done by Pascual-Miguel, Agudo-Peregrina, and Chaparro-Peláez (2015). The second method EFA was utilized in the research “Customer loyalty in e-commerce: an exploration of its antecedents and consequences” done by Srinivasana, Andersona, and Ponnavolu (2002). Based on the factors being analyzed and the sample sizes for each of the two research papers, the data... Business and...

4 Pages(1000 words)Assignment

...**SPSS** Exercise ID ID Lecturer You have to use Independent Sample T-Test with for Compare B2B versus B2C as a factor with:
a. Social Disclosure Score
The average mean for social disclosure in regard to B2C is 52.75 while that related to B2B is 51.90.
Group Statistics
B2B & B2C
N
Mean
Std. Deviation
Std. Error Mean
Social Disclosure Score
B2C
188
52.75
14.989
1.093
B2B
144
51.90
13.600
1.133
We now check for significance difference in the mean social disclosure between the two groups (B2C and B2B). From the table below, the p-value for Lavene’s test is 0.061 (a value greater than 5% significance level, this means that the variability in the two conditions is about the same we therefore assume equal variances and use the p-value assuming...

8 Pages(2000 words)Assignment

SPSS Assignment In the table below we present the descriptive (summary) statistics for the variable weight collected from 7th grade boys in 2014 at "A" Junior High in Some Town USA. The average weight is 158.75 with a median of 165. The standard deviation and the range shows a large deviation from the mean. The skewness value is given as 0.315, this shows that the distribution is not far from symmetrical (data being normally distributed). Lastly, we look at the value of kurtosis, the value is given as -0.219 (a value close to zero), this shows that the data is likely to be from a Gaussian distribution.

Statistics

weight

N

Valid

53

Missing

0

Mean

158.75

Median

165

Std. Deviation

35.6489

Va...

2 Pages(500 words)Essay

...The Human Resources Managers are the primary determinant of quality in research and higher education. Therefore, the collaborates with this department to hence human potential both quantitatively and qualitatively. The progress of a university is determined by the HR department who provide a favorable professional environment for collecting information and giving tangle consideration of information gathered. According to Pausits, 2015, the quality of academia and management depends on the quality of HR department and functions. In our case study, the HR department considered collecting data about the number of employees and students while benchmarking their annual pay rise because this is the only two main ends that are involved... Human...

4 Pages(1000 words)Research Paper

...**SPSS** – Statistics Project
Research Study 1
Once the decision is made that the best way to answer the research problem is by means of quantitative research, there are a number of important aspects, specific to quantitative research, that need to be considered. These aspects include some basic terms, method of data collection, data capturing and editing, statistical analysis, interpretation and report writing. These aspects will now be discussed.
Stating the hypothesis
We have a two-tailed test and an alpha level of .05. Notice the research hypothesis is framed in the direction that we should expect, an improvement in scoring. Nevertheless we will assess the hypothesis using a two-tailed test. So aaccording to given conditions we state...

8 Pages(2000 words)Research Paper