## CHECK THESE SAMPLES OF SPSS

... -.061 Kurtosis -.972 Table 2 : Descriptive Statistics of Variable 2 Figure 2 : Histogram of Variable 2 According to Utts and Heckard, “a scatter plot is a two-dimensional graph of the data values in two samples representing a correlation between the two variables” (132). A scatter plot was constructed between the two variables generated using **SPSS** Software as shown in figure below. Here, Variable1 is placed on x-axis while Variable2 is placed on y-axis. Further, correlation analysis of the data was conducted using Pearson’s Coefficient of Correlation (0.272). Value of 0.272 for Pearson’s Coefficient of Correlation indicates a low correlation between the two variables. Since Statisticshowto website suggests High correlation: 0.5 to 1.0...

3 Pages(750 words)Essay

... 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

...health associated with structures had relation with incidence and pattern of traumatic injury.
Regression analysis equation for hypothesis testing
Where are coefficients and are the listed variables
Analysis is performed using **SPSS** software and results tabulated as shown below,
To test the hypothesis,
pcvf
Pearson Correlation
pcvf
1.000
cribs
.
ncan
.
ehyc
.
n14lb
.
fr14lb
.
rpfr
.
lpfr
.
ptib
.
prtib
.
pltib
.
feml
.
Shockingly or unexpectedly, the results have shown no relationship between the listed variables and traumatic injuries. As a matter of fact, the findings show that none of the variables can be used to predict prevalence of post-traumatic injuries. With R= 0, we reject the hypothesis rightly and...

2 Pages(500 words)Assignment

...**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

..., games won and team salary are
independent of each other in the population at 5% significant level.
H0: = 0 (The correlation in the population is zero)
H1: 0 (The correlation in the population is different from zero).
Significant level = .05
Reject H0 if p value <
From the table the p-value is 0.04
H0 is rejected because p-value = 0.04 and therefore is smaller than the 95 % significance level. Therefore, there is strong evidence that the true population correlation for these two variables is not zero.
3. Revisit the CEO pay and firm performance problem you did for **SPSS** 4. In **SPSS** Assignment 4, you did a scatter plot to examine the relationship between the compensations of CEOs in the tourism industry...

5 Pages(1250 words)Essay

... spend some time with there disable children regardless of the gender.
Appendix 1
**SPSS** OUTPUT RESULTS
ONE –WAY ANOVA
Exercises 1-3
GET
FILE=D:\Academia Assignments\Using **SPSS** for Windows and Macintosh Analyzing and Understanding Data, 7e\Lesson 25\Lesson 25 Exercise File 1.sav.
DATASET NAME DataSet1 WINDOW=FRONT.
UNIANOVA extrover BY hair
/METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE
/EMMEANS=TABLES(hair)
/PRINT=ETASQ HOMOGENEITY DESCRIPTIVE
/CRITERIA=ALPHA(.05)
/DESIGN=hair.
Univariate Analysis of Variance
Notes
Output Created
08-DEC-2014 14:18:28
Comments
Input
Data
D:\Academia Assignments\Using **SPSS** for Windows and Macintosh Analyzing and Understanding Data, 7e\Lesson 25\Lesson 25 Exercise File 1.sav
Active Dataset
DataSet1
Filter...

4 Pages(1000 words)Assignment

... is 27.125
3. The expected frequencies for the three categories of potato chips
Method of cooking potato chips
Observed N
Expected N
Residual
Fried in animal fat
7
16.0
-9.0
Fried in Canola oil
33
16.0
17.0
Baked
8
16.0
-8.0
Total
48
4. A results section based on the analyses
From the analysis, it is evident that there is significant difference in the preference of potato chips hence we fail to accept the null hypothesis. On the other hand, it is evident that the sample provides enough evidence to support the claim that potato fried in the canola oil have are more preferred compared to the chips fried in animal fat or baked chips.
Exercise 1 – 4 Pg. 328
1. **SPSS** output for a MANN – Whitney U test
Ranks
weight
N
Mean Rank
Sum of Ranks
Time...

3 Pages(750 words)Assignment

...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