4. Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a rationale for your answer.
The total risk score is 4.14, the greatest relative or standardized difference between pretest and 3 month outcomes. This t ratio has a statistical significance of 0.05 - the least acceptable value for statistical significance. Also the larger the t ratio, the smaller the observed p value and increased odds of being able to reject the null hypothesis. 3. Which t-ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months?
The relationship between Hamstring strength index 60 degree/s and the Shuttle run test is a negative relationship due to r moves away from zero in negative direction and r = −0.149, the strength of this negative relationships would be weak with r -0.5 r=-0.528**, is more significant since p =0.002< 0.01, where r = −0.498** is significant at p =0.004< 0.01. The smaller the p-value in a test of hypothesis the more significant the results are. 8. The researchers stated that the study showed a positive, significant correlation between Quadriceps strength indices and pre- and postoperative functional stability Considering the data presented in the Table 5, do you agree with their statement? Provide a rationale for your answer.
In the cultures there are men, women, and “hijras”. These hijras believe they are neither men nor women. Serena Nanda, the author of Neither Man Nor Woman, studied this group in 1981. Her work gave great insight into what gender actually is and what the implications for more genders are. Gender is defined as a social construction of characteristics based on one’s sex.
Case Overview: Onclave v. Sundowner Offshore Services, Inc. Simeamativa P. Kruse Webster University Review of Case 12.8 In Onclave v. Sundowner Offshore Services, Inc., petitioner Onclave filed a complaint against his employer, in that the sexual harassment he endured by three other male crew members in their workplace constituted “discrimination…because of…sex”, which is prohibited by Title VII of the Civil Rights Act of 1964 (Twomey, 2013). Unfortunately, the Fifth Circuit jurisdiction had ruled that same-sex sexual harassment was not sex discrimination in any form. But rather, that it was only between biological males and females to constitute an actionable sexual harassment. This raised questions surrounding Title VII relevancy to the case, in that “it shall be an unlawful employment practice for an employer…to discriminate against any individual with respect to his compensation, terms, conditions, or privileges of employment, because of such individual’s…sex” (Twomey, 2013). The Court of Appeals saw no justification legally for a categorical rule excluding same-sex harassment claims from the coverage of Title VII.
Both similarities and differences in these approaches will be brought to light and I will conclude with personal reflection. Motivational Interviewing came about initially as a way to help people dealing with substance abuse and addiction problems. Bill Miller and Steve Rollnick are the therapists that created Motivational Interviewing in the late 1970’s. To give background, in the late 1970’s the only requirement by the state to provide addiction counseling was that the provider be in recovery him/herself. This was because we had almost no research on what addiction actually was; therefore, we could not possibly introduce successful treatment modalities.
which presented evidence suggesting that the eyebrows may not just be important but they may be the most important feature when it comes to face recognition. In this study, participants were asked to identify fifty celebrity face images in three separate conditions – and unaltered image, an image lacking eyes and an image lacking eyebrows. Performance with the image lacking eyebrows was significantly worse than for both the unaltered images and those lacking eyes. These results suggest that the eyebrows in particular may contribute in an important way to face recognition due to the fact that less participants were able to recognise the faces without eyebrows than the faces without eyes or that were unaltered, therefore this study supports the feature analysis theory. Alternatively, a study conducted by Sergent aimed to investigate whether features are processed independently or configuratively.
Gabor states “No drugs, in itself, are addictive.” This means that it is not the drug that causes the addiction, it is why the people are doing the drugs in the first place, and the way it makes them feel. If people grow up in an abusive household and have never experienced a “warm, soft hug”(305), they turn to drugs because it will give them that feeling. Although some may agree with Mate’s argument, the ways in which he gives his evidence and examples lacks all the necessary information needed in order to make a decision on whether you agree or disagree with his argument. In paragraph four Mate uses a scientific example saying, “Only about 8 per cent to 15 per cent of people who try, say alcohol or marijuana, go on to addictive use.” (305) While this statistic may be true, it is difficult to report on how many of those people of that eight to fifteen per cent are using it because they simply have an addictive personality. For Mate to say that all addictive drug use is caused from neglect issues is not accurate because he does not account for the people who do drugs because they want to.
Asking the question, ‘what do I observe?”gives the dependent variable the stability of the predicted outcomes for the research that is researched. Independent Variables By choosing five [demographic, give and take, responsiveness, trust, and fairness] of the twelve independent variables, a parsimonious effect is given because it explains the most with the least amount of independent variables. These variables influence the dependent variable by asking the question, “what do I change?’ and can predict the dependent variable with cause and effect of the research outcomes. These five selected variables can form a relationship with another chosen variable to establish a standardized measure of strength or a Pearson’s correlation coefficient (see table 2). [Insert Table 2 here] Central Tendency The three measurements used to calculate the frequency distribution is the mean, median, and mode.
Interestingly, the statistics show that gay and lesbian parents do well with older children, but have a high percent adopt children that are between the ages of one and a half and 5. Doesn’t it seem like the adoption agencies don’t put gay and lesbian parents in the best possible