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Essay on Gender Differences and Emotions - 1687 Words

Coexistence between men and women is not impossible or always difficult. However, problems arise when there is an expectation or automatic assumption of what the opposite sex will think or feel about any given situation. Acceptance of each other without trying to change the other to suit our own personal need is by far the simplest way to achieve a harmonious relationship. The challenge we face today is in accepting and recognizing the differences between men and women; and when possible find the humor in those differences. I have had 35 years experience in the area of male and female differences and believe me, there are many. In sharing my experiences, perhaps you will find some wisdom and a better understanding of this complicated†¦show more content†¦Men on the other hand want a situation handled as quickly and straightforward as possible. Most of the male species, does not feel the need to express verbally the issues with all the infinite details as women do. Men are more likely to look at the overall picture and proceed from there. It has been said that men often have the built in feeling of authority and assume, this feeling is understood by all. When using this thought process, there is little need for words. The process of solving a problem does not emotionally affect a man as it does a woman. Smart men realize that women need to feel appreciated and understood and they are known for wanting the last word. So men, remember when her last word has been spoken, leave it at that. Your next word could be the start of a brand new argument! It may be a fact that most bad words are four letter words, but there is exceptions to every rule. Sensitivity is a bad word that consists of much more than four letters and is a dreaded word by most men. When women speak of sensitivity, there is a smile in their eye and the word itself takes on an angelic tone. Sensitivity is the foundation for forming a relationship for both men and women, but what does sensitivity mean to the male gender compared to the female gender? A great relationship for the male is most often the sharing of activities. Sharing activities often signal a close solidShow MoreRelatedCultural And Gender Differences Of Emotion1179 Words   |  5 PagesCultural and Gender Differences in Emotion Emotion â€Å"Emotions are the cornerstones of our social worlds, affecting our interactions with others in countless ways† (Soto, Levenson, and Ebling, 2005). The domain of emotion is vast with many aspects to investigate and discover. Research suggests that there are basic emotions of anger, disgust, fear, happiness, sadness, and surprise and also more complex emotions such as contempt, embarrassment, pride, and shame (Tracy Robins, 2008). Two areas ofRead MoreGender Differences Of Emotion And Communication Essay1374 Words   |  6 PagesGender Differences in Emotion and Communication By Nina Bingham | Submitted On April 11, 2011 Recommend Article Article Comments Print Article Share this article on Facebook Share this article on Twitter Share this article on Google+ Share this article on Linkedin Share this article on StumbleUpon Share this article on Delicious 1 Share this article on Digg Share this article on Reddit Share this article on Pinterest Expert Author Nina Bingham Society expects women to be more emotionallyRead MoreGender Differences On Negative Emotions During The Childhood And Adolescence Stages Essay1343 Words   |  6 Pagesgentle emotions, and males show more aggressive emotions. â€Å"Sayings such as ‘boys don’t cry’ and ‘sugar and spice and everything nice—that’s what little girls are made of’ reflect cultural beliefs and expectations that girls show cheeriness or sadness, whereas boys are strong and calm, showing anger if necessary† (Chaplin Aldao, 2013). Before this study, there were only empirical reviews of happiness expression. There has been no empirical review of gender differences on negative emotions duringRead MoreQuestions On Gender And Psychology1343 Words   |  6 Pages Student No. : 8598886 Subject : PYB 054 Gender and Psychology Tutor : Ron Frey Due date : 11/05/16 Word count : Abstract It has been believed for decades that women generally tend to be more emotionally expressive than men. However, do this gender difference really exist between men and women? Many studies have found that this indeed is the case, however studies have also found that men can be more emotionalRead MoreWomen Are More Emotional Than Men1292 Words   |  6 Pageswell as more emotionally expressive† (pg. 396). When people think of the main difference between male and female, the emotional state of the different genders would probably be one main concept that comes to mind. According to Baumeister and Bushman (2014), â€Å"the traditional stereotype of female emotionality is wrong† (pg. 221). While the different emotions that are dominantly expressed, or the way genders express the emotions being felt could vary among males and female, the actual act of living an â€Å"emotionalRead MoreThe Differences in Emotional Expression Between Genders Essay examples1504 Words   |  7 PagesCombined research shows men and women vary little in experiencing emotion but contrast greatly in the expression of emotion. Psychologists have studied the reasons behind the differences through the years and there are still many unanswered questions but there are several well-accepted possible causes and combination of causes. Neuro science and the brain makeup is the first area of proven differences. Medical researchers have been aware for a long time that the male and female brain is differentRead MoreCommunication Is The Key Component Of Social Behavior1697 Words   |  7 Pagesbehavior differs based on their sex, when in fact it is based more so on their gender. To start off, look at the difference between sex and gender: â€Å"Sex refers to the biological categories of female and male categories distinguished by genes, chromosomes, and hormones,† â€Å"Gender refers to the social categories of male and female (Helgeson, 2016, p. 3).† With that said, the differences in social behavior are due to a person’s gender, not sex. Social behavior pertains to numerous different areas, but one areaRead MoreFactors That Influence Emotional Expression1619 Words   |  7 PagesHow often do you have trouble expressing your emotions? Many people struggle with the art of expressing emotions. Expressing one s emotions can be a difficult task, and can be made even more di fficult if you don t understand what influences your emotions. There are many different factors that can influence how we express our emotions. Knowing what those influences are can help people better understand and communicate through emotions. There are three different factors that influence emotional expressionRead MoreResearch Study on Gender Differences1272 Words   |  6 Pagescommunicates many things, especially your emotions. (Devito, 125) Women are stereotyped in todays society as to being more emotional than men in emotional settings. Not in all instances is this true, however, men feel they need to set a strong, domineering, display of their emotions and the way they react towards certain emotional situations. Gender display rules are a set of rules that usually either male or female follow in order to fit their specific gender script in society. It is stated in theRead MoreEssay research study on gender differences1272 Words   |  6 Pagescommunicates many things, e specially your emotions. (Devito, 125) Women are stereotyped in today’s society as to being more emotional than men in emotional settings. Not in all instances is this true, however, men feel they need to set a strong, domineering, display of their emotions and the way they react towards certain emotional situations. Gender display rules are a set of rules that usually either male or female follow in order to fit their specific gender script in society. It is stated in the

Oregon measure Free Essays

Introduction In 1994, voters of Oregon passed Measure 11,which forced long compulsory prison terms for 16 designated violent and sex-related offenses, prohibited â€Å"earned time,†1 and provided for mandatory waiver of youthful offenders to adult court. This measure stood in sharp contrast to sentencing practices at that time, overlaying the state’s existing sentencing guidelines system for selected offenses, increasing the length of prison terms imposed, and reducing judicial discretion at the sentencing phase. The main challenge facing everyone is ‘Should Measure11 be repealed’. We will write a custom essay sample on Oregon measure or any similar topic only for you Order Now    Yes  Claims For Removal Of Measure 11 According to studies undertaken, if measure 11 were repealed, Oregon would save over $612 million in the next 10 years. The savings on new prison construction alone would be $153.6 million dollars between 2000 and 2010. For some crimes that are money worth spending, but for stealing two tires, or stealing a petty amount, and bus pass or fighting, that is wasting our tax dollars that should be going to schools/education, instead of prisons. Mandatory minimum sentencing means one has to serve every hour of every day of ones sentence no matter what. No good time, no early release, no boot camp. As high as 67% people, under Measure 11 ‘Are First Time Offenders’ and 35% are under 21 years of age. Instead of warehousing people and spending money on more prisons, we should be investing in prevention programs, and look for a substitute to sentencing plans that have been proven to be far more successful with far less cost. In the present form, Measure 11 sentences surpass any lesser existing guideline sentences for 21 violent and sex offenses —the original 16, plus 5 more added later.   Sentences range from 70 months for second-degree assault, kidnapping, robbery, and certain sex offenses, to 300 months for murder. Penalties may not be reduced because of the offender ’s prior record —regardless of whether an offender has a criminal record, or the length of such record, minimum sentences are the same for all offenders. Thus, some penalties are actually higher under sentencing guidelines in instances where an offender has an extensive criminal record. In general, however, Measure 11 penalties are longer than those imposed under sentencing guidelines. Juveniles aged 15 years or older are also subject to the measure.   Many people believe that the measure would negatively affect criminal justice system operations, and reduce system integrity. In terms of system operation, opponents expected the measure to lead to an increase in jury trials and prison populations, overburdening both the courts and the correctional system. At the same time, they expected an increase in jail sentences. People opposing this; feel that Measure 11 trials are an undesirable risk, because mandatory sentences eliminate any possibility of judicial caution in sentencing. Rep. Bowman believes that a judge should have some liberty, in setting the sentence for the person found guilty, after investigating all the facts in the case and the background of the defendant. Many of them think that juveniles deserve some consideration from the judge. Judges feel that Measure 11 is too harsh in some cases. Some Assault II and Robbery II charges are uncertain, and sex offenses are serious because of lifetime registry requirements, but judges have no choice but to impose the obligatory sentences. Judge Sullivan remarks opponents’ concerns about lengthy sentences for juveniles. There are very few services provided to those in the adult system. With no possibility of early release, juveniles have no incentives to re-establish themselves. Defense attorney Wehmeyer also mentions that prisoners cannot earn good time for earlier release and have no enthusiasm to behave. Jackson County officials are concerned that Measure 11 focuses on punishment instead of rehabilitation. Rep. Bowman believes that funds would be bettered spent on treatment and therapy than on mandatory prison terms. Rep. Bowman is concerned that Measure 11 discriminates against racial minorities and the poor, who cannot afford high-priced lawyers. She points to statistics that show that although African-Americans comprise only 2 percent of the state’s juvenile population, they are 16 percent of the juveniles serving time under Measure 11. Multnomah County’s Juvenile Crime Trends Report of March 1999 confirms that â€Å"despite being approximately 10% of the total youth population (10-17 yrs.). In Multnomah County, African-Americans are over-represented in the juvenile justice system at 21% to 23% of the offender population.† Opponents point out that juvenile crime had been decreasing both nationally and in Oregon before Measure 11 was implemented. They believe that the measure was harsh and inflexible, and that it discriminated against racial minorities and the poor. Counter Argument Proponents of the measure believed that these enhanced penalties would improve public safety by deterring future criminal behavior and increasing the length of time that felons who commit serious crimes spend in prison. District attorney Hehn believes that the certainty of mandatory prison terms is a â€Å"real deterrent† to criminal behavior by juveniles. She feels that juveniles did not take the previous juvenile justice system seriously. District attorney Heiser also feels that Measure 11 has been a restriction for younger teens and a reflection that the public was â€Å"fed up with coddling teenagers.† Measure 11 did have an impact on the crime rates in Oregon. Crime rates, particularly for violent crime, declined in Oregon after 1995. According to various surveys the findings are consistent with the possibility that Measure 11 may have been at least partly responsible for this decline, such   findings   do   not   provide clear evidence   of a causal link. An examination of other factors, different opinions, and further surveys, would need to be made before definite conclusions can be drawn. The only things unforeseen about Measure 11 are, that the drop in crime has been far greater than expected and the cost has been far less than predicted. As per studies, Oregon’s violent crime rate dropped 41 percent from 1995 to 2001 while the number of extra prison beds required by Measure 11 was less than half the original estimate. Conclusion Measure 11 has been in effect for only four years. It is difficult to determine its total, long-term effects on public safety and justice in Oregon. It remains a highly charged and emotional issue. The result of various studies indicate that passage of Measure 11 has altered sentencing and case processing practices for those charged with serious person offenses in the state of Oregon. While some of these were planned system changes, others were unplanned and are not fully understood. The measure can be considered a success in that it has accomplished its intended goal of increasing the length of prison sentences for offenders convicted of Measure11- eligible offenses. However, since passage of the measure, fewer offenders have been sentenced for the Measure 11 offenses, and a greater proportion have been sentenced for Measure11-alternate offenses. Analyses suggest that this move resulted from the use of prosecutorial caution and the reduction of cases which, though technically Measure11-eligible, were not deemed appropriate for the associated mandatory minimum penalty. Although the selective use of Measure 11, along with Oregon ’s prison construction program and reduced crime rates, has enabled the state to avoid the negative consequences of prison overcrowding, the process by which cases are being chosen for either full or partial prosecution is unclear. Prosecutors who were interviewed were confident in their ability to apply the measure properly; however, it is not clear what criteria were used in making their decisions, or whether these criteria were constantly and equitably  applied. Further research should address how discretion is exercised and charging decisions made under Measure 11. Oregon ’s Measure 11 introduced bold changes into the sentencing structure of the state. Surveys addressed the execution and impact of the measure on prosecution, sentencing, and convictions, both statewide and in three other counties also. As with many policy changes, some of the observed consequences were expected, others were not. Further research and experience with the measure will provide more definitive answers to the questions raised. There are many things said about Measure 11.   This measure has its share of pros and cons.   Whatever be it, offenders above 15 should be given a fair chance for rehabilitation, proper education and good facilities. The offenders should have separate premises and not be clubbed with the adult offenders.   The introduction of the Measure 11 is mainly to reduce the rate of crime in teenagers, and it should focus on that aspect only. Hence it is very necessary that Measure 11 should live up to its standards and abide by the rules and regulations of the law. Works Cited   Ã¢â‚¬Å"Oregon Mandatory Min Sentencing Law Measure 11† Oregon Department of Corrections Statistics, 6 December 2006. ;http://www.angelfire.com/ms/oregonmeasure11/;. Bob, Dee Dee Kouns, Crime Victims United, 6 December 2006 ;http://www.crimevictimsunited.org/measure11/rebuttal.htm;. League of Women Voters of Oregon Education Fund, 6 December 2006, How to cite Oregon measure, Essay examples

Business Statistics Learning Contemporary Decision Making System

Question: Discuss about the Business Statistics Learning for Contemporary Decision Making. Answer: Introduction: Statistics is defined as a branch of science dealing with data collection, data analysis, data tabulation, and data presentation. The two major types of statistics are the descriptive and inferential statistics (Berenson et al., 2012). Descriptive statistics is concerned with measures of central tendency whereas inferential statistics encompasses on estimation and hypothesis testing. This assignment summarizes topics on data types and their scale of measurement with relevance to the essay. We analyse the use of descriptive or inferential statistics in to present a situation. Further we investigate the use of probability in presenting a practical world problem. The essay selected for the present assignment is Building Approvals: Sydney (NSW) housing activity still smoking in January. In the assignment we study the building approvals in states. The frequency of approvals of dwelling in the private sector from 2009 to 2017 has been studied. Both multi-unit and single unit housings approved have been studied. We further study the frequency of residential buildings approved in different states of Australia with emphasis on NSW, Vic, QLD, WA, SA and ROA. Moreover, the number of buildings approved in the non-residential sector is also studied. The source of the present data is the building approval committee of different states. Quantitative data is used for the study. Data is measured in interval scale. The data in the essay is presented in various forms. To evaluate the total approvals in residential sector ratio scale is used (Keller, 2015). With the use of ratio scale comparison of total approvals in 2015 to 2017 is done. To compare the approvals in states percentage scale has been used. Three graphs are presented in the essay. All the three graphs are time series line graphs. Different time lines have been used in the graphs. The time scale is on x-axis. The frequency scale is in y-axis. Measures of location are used in statistics to find the central tendency of the data. The three measures of central location are mean, median and mode (Gorini, 2012). Mean is given as the ratio of the sum of the values in a sample to the size of the sample. Median can be defined as the mid-point of the ordered data sample (Brase, 2015). Mode is the most frequently occurring data in the sample. In the present essay Central location has not been used to study the building approval rate. The distribution of the data in a sample if used measures variation in a sample. Range and quartiles are used to measure variations in a sample (Newbol, 2013). Range is the difference between the maximum value and minimum value in the sample. In an ordered data set quartile divides the data set into four equal halves. In the present essay on approvals of buildings measures of variation is not used. Descriptive statistics is used in the essay to summarise the data. Descriptive statistics is the use of measure of central tendency and variability to study a variable (Black, 2013) . Different measures of central tendency are mean, median and mode. The central tendency measures the central location of a dataset. However in the essay central tendency is not used. The sum of the total number of approvals in 2015 and 2016 is used for evaluation with the expected approvals in 2017. In statistics data is collected, evaluated and analysed and then presented in a form by which the common person can understand. Statistics is used to analyse situations in every sphere of life weather, disease, business, politics, quality testing etc. In a business environment statistics can be used to analyse data and make decisions based on the analysis. In the present essay longitudinal building data has been collected. The data of the buildings is presented in both numerical as well as graphical from. The numerical longitudinal data has been grouped into three heads residential and non-residential buildings and buildings in a state. The residential data is further divided into houses and multi-unit houses. Building approvals is studied with the help of frequency and ratio analysis. The building approvals for each state are used to compare the growth (percentage) in the states. In the non-residential sector the building approved in different sectors for non-residential use is compared. The numerical data has also been presented in graphical from. The numbers used to compare the data can be beneficial for key policy makers. The analysis of the numbers shows the trend in growth (or decline) in the building industry. The study of the numbers can be used by policy makers to make decisions. The present data can be used to understand the differences in supply and demand of buildings. Thus governments can make provisions for filling the gap. References Berenson, M., Levine, D., Szabat, K., O'Brien, M., Jayne, N., Watson, J. (2012). Basic business statistics: : Concepts And Applications (3rd ed.). Pearson Higher Education. Black, K. (2013). Business Statistics: For Contemporary Decision Making (8th edn). Wiley Global Education 2013 Brase, C. H. (2015). Understanding basic statistics. Cengage Learning. Gorini, C. A. (2012). Master Math. Boston: Cengage Learning. Keller, G. (2015). Statistics For Management And Economics (10th edn). Cengage Learning Newbol, P. C. (2013). Statistics for business and economics. Boston: Pearson.