for other
variables, a skew is noted (e.g., Team Autonomy). Thus, given
our philosophy of measurement and the actual characteristics
of the data, we consider parametric, as well as non-parametric,
statistics to be meaningful for these analyses. However, we note
that the use of parametric...
Contrasts: two samples. In: Psychostatistics.
e
e
Parametric and Non-parametric Contrasts). Pir! mide Psicolog!a, Madrid.
a
ı
Shemwell, D.J., Yavas, U., Bilgin, Z., 1998. Customer-service relationships: an empirical test of a model of
service quality: test of a causal model. Journal of Applied...
part of your project.
Question No :2
You are the project manager of a Project. Which of the following techniques will you use to create the risk management plan?
1. Planning meetings
2. Status meetings
3. Variance meetings
4. Risk tolerance
correct is :1
Explanations :
Planning meetings...
some of the respondents. Thus, “delegative” question had been changed to simpler question which is ‘Will allow me to make decision when manager or leader is away.’ Finally, the result of the data will be used to test the reliability and validity by using SPSS student’s version 18.0.
3.6...
and observe significant higher returns in January than in the other months of the year. Also, Gultekin and Gultekin (1983) study seventeen countries using both non-parametric and parametrictests, and conclude that January returns are significantly higher when compared with the other months, in...
that of the old wage. You want to use the non-parametric method – “Two Related Samples Tests.” Go to “STATISTICS / NONPARAMETRIC / 2 RELATED SAMPLES TESTS.” Choose the pair of variables whose distributions you wish to compare. To do this, click on the first variable name, press the CTRL key, and...
Kruskall-Wallis test. Kruskall-Wallis is a non-parametrictest also known as a distribution free test which requires a less strict assumption about underlying population and the type of data to be analysed. Unlike the parametrictest (such as F-Test) which requires data to be measured on interval...
. |
Parametric & non-parametrictests
|Parametrictests |Non-parametrictests |
|1. These are the hypothesis-testing procedures that assume |1. These are the hypothesis-testing...
1.518
0.223
5.10 Kruskal Wallis Test
The non-parametrictest will be used that is kruskal-Wallis test. Whenever the assumption of levene test is not fulfilled the non-parametrictest i.e. kruskal-Wallis test is used. So kruskal-Wallis test is applied to check the...
the same time some of the simplicity of the basic variance-covariance approach
is lost (Damodaran, 2007).
2.3.2 Historical Simulation
When it comes to non-parametric methods, historical simulation is probably the
easiest approach to implement (Wiener, 1999). The idea is simply to use only...
and Non-ParametricTests
A snag with the non-parametrictests described above is that these tests only use rankings in their computation, and therefore they do not effectively use all the data. For example, consider the two following data sets: A) B) 1, 2, 3, 4, 5 1, 2, 3, 4, 1000000
The...
-leaders. Therefore, this test does not involve the rank ordering of position mandated for the use of Kendall’s tau. Here, the non-parametric Mann-Whitney test is used to test whether the overall strategic profiles of managers and non-managers differ significantly.
A positive finding both within...
same results.
Content validity
We asked experts and found that the content of our questionnaire measure what we need to measure in our research.
Data preparation & analysis
Test the Hypothesis using statistical techniques.
Types of data
1-Metric data == Interval, Ratio
2-Non Metric Data...
ANOVA, tests differences between groups that are only classified on one independent variable. You can also use multiple independent variables and test for interactions using factorial ANOVA (see below). The advantage of using ANOVA rather than multiple t-tests is that it reduces the probability of a...
micro and macro level analysis could be widened to compare how markets between different regions behave due to the difference in the property market structure. Cross- market analysis may be beneficial to fund managers, as they are able to distinguish between performing and non- performing markets...
> 100) data sets, it makes little sense to use nonparametric statistics (reviews of non-parametrictests by Whitley & Ball, 2002 and Bewick, 2004; a tutorial on Parametric vs Nonparametric Methods; Review of Nonparametric Tests in Intuitive Biostatistics; Nonparametric Tests for Ordinal Data at...
of the data allows for constant autocorrelation over time which permits for the efficient employment of PCA. The results of the normality test conducted indicate that the returns for all bonds are not normally distributed.16 Taken together, these results suggests that the use of PCVaR rather than the...
. Findings of researches using a probability sample are valid and used to infer the characteristics of the population frame. The basic assumptions for the use of parametrictests is based on the randomness of the sample characteristics.
Non-probability Sample. A non-probability is a sample where not...
based on the rank of a set of observations is one
example of such; and these play a central role in many non-parametric approaches.
3
4
A. W. Lo, 2007, p 5
Mobarek & Keasey, 2000
8
It is easier to use these tests on market-return data as this data tends to be non-normal...
. Probability
c. Non – parametric
d. None the above
Part Two:
1. What is ‘Sequential sampling’?
2. Write a short note on ‘nominal scale’.
3. Write a note on ‘Z – Test’. (One of the parametrictest for hypothesis).
4. What are the cautions to be taken on χ2 (chi square) test?
END OF...