PSY 325 Statistics for the Behavioral and Social Sciences WEEK 5 Assgnmnt EXAM 2 and 3 April 7 2014

EXAM 3
Alice Cline
PSY325: Statistics for the Behavioral and Social Sciences
Instructor Jeral Kirwan
April 7, 2014

INTRODUCTION
In 2012, the presidential election was in the spotlight as a result of power statistics when the founder of the FiveThirtyEight blog Nate Silver; prophesized the results of 50 states by using a statistical model of polling information. Nate Silver then wrote his best-selling book stressing the importance of statistical thinking (Silver 2012). His book also became famous in international regions as well. Thus media reports, statisticians in all fields of science and society remain anonymous to many people globally. At the same time, new data remains ambitious as age demands a huge statistical workforce, leaving students vulnerable to a lack of knowledge of these opportunities of study. However, it is fortunate that statistical professional societies are polished and did embrace the challenges involved. The largest professional societies in the world by the name of The American Statistical Association (ASA), has been one of the leading advocates for decades showing how important statistics are regarding science and society. This paper will illustrate and example of a statistical study of memory (Davidian, M. (2014). No-one really realizes how important memory is until theirs is compromised by either a sudden accident or a neurological disease such as Dementia or Alzheimer strikes them. This paper will attempt to describe the results of a memory study amongst four groups of people below.
There were 20 people entered in a memory assessment by a researcher of which he recorded some reaction times:
DATA SET:
2.2
4.7
7.3
4.1
9.5
15.2
4.3
9.5
2.7
3.1
9.2
2.9
8.2
7.6
3.5
2.5
9.3
4.8
8.5
8.1

DISCRIPTIVE STATISTICS RESULTS:
SUM
127.2
MEAN
6.36
MODE
9.5
STANDARD DEVIATION
3.394
RANGE
13
SKEW
0.6977
KURTOSIS
3

HotMath.com
These results revealed that the groups differ at least 2 times. The outliers in found this group of numbers is number 5. Outliers have a harmful effect on statistical analysis. Their purpose is to serve increase error variances decrease the power a statistical test. They can also decrease normality if it is not arbitrarily dispersed it can also reduce normality changing the odds both type I and type II errors. The next effect could be serious bias or influence estimates of large interest (Rasmussn, 1988; Schwager & Margolin, 1982: Zimmerman, 1994), (Osbourne, J., Overbay, A. 2004).
2.2
7.3
2.7
9.5
3.1
9.2
3.5
9.3
2.9
7.6
2.5
8.1
4.8
8.5
4.7
8.2
4.1
7.3
4.3
15.2

References Davidian, M. (2014). The International Year Of Statistics, The American Statistical Association, And A New Collaboration. Investigacion Operacional, 35(1), 1-7. Retrieved from: EBSCOHOST
Rasmussn, 1988; Schwager & Margolin, 1982: Zimmerman, 1994), (Osbourne, J., Overbay, A. 2004). Retrieved from: EBSCOHOST HotMath.com
Retrieved from: http://hotmath.com/hotmath_help/topics/correlation-and-causal-relation.html

EXAM 3 PART 2 Alice Cline PSY325: Statistics for the Behavioral and Social Sciences
Instructor Jeral Kirwan
April 7, 2014
Introduction
Currently people purpose what is called bulk items. It is all about the amount of merchandise that one can purchase and save money. In research there is a term called Quantitative Research, which is define as the use of numerical analysis. It is basically an approach that decreases data into numbers such as the number of casualties in a war. Researchers already have knowledge of which they are looking for and the methods that they will use to conduct the study. The strategies are meticulously designed prior to conducting the research. The purpose of Quantitative research is to establish and use mathematical models, theories and hypotheses relating to phenomena (Crossman, A. (2014).There different types of research that render certain results. This paper will attempt to critique what is called Quantative Research and what it entails and how data is collected in this method of conducting research. Quantitative Research helps us to understand the ratification and decisions (Tanner, D. (2011).
Family violence is a critical and sensitive subject to discuss, much less research it. It entails physical, psychological, social and financial expense to those affected by it. It involves human suffering, social, financial distress, guilt, disgust. It also has some criminal ramifications in some cases, therefore researchers must be cautious of their own feelings and thoughts when dealing with cases of this magnitude. Research could also place a huge burden on researchers. A fine line has to be drawn when it comes to a victim’s rights. Researchers must also be aware of their own behaviors when dealing cases like these.
Method
Methods that have been employed is reviewing the entire family and conducting survey referencing the statistical safety and coping with family violence. The focus of the research influences the entire process. Hen data is collected, researcher realized that participants needed respect, appreciation and provided with a feeling of comfort to voice their concerns and proceed in the program at an acceptable pace and avoid rushing it. Patience and being a good listener is crucial.
One study does not provide enough to make a conclusion that participating in a study as such can be therapeutic and most participation does help some participant s to progress and put their trauma behind them. They begin the healing process when speaking about their issues and how to cope with them (Paavilainen, E., Lepisto, S., Flinck, A., (2014).

References Tanner, D. (2011). Statistics for the Behavioral & Social Sciences. San Diego, CA: Bridgepoint Education, Inc.

Retrieved from: Constellation™ course digital materials (CDM) title.

Paavilainen, E., Lepisto, S., Flinck, A., (2014). Retrieved from: EBSCOHOST

References: Tanner, D. (2011). Statistics for the Behavioral & Social Sciences. San Diego, CA: Bridgepoint Education, Inc. Retrieved from: Constellation™ course digital materials (CDM) title. Paavilainen, E., Lepisto, S., Flinck, A., (2014). Retrieved from: EBSCOHOST