Soap Opera by David Ives Essay Example | Topics and Well Written Essays - 1000 words

Soap Opera by David Ives - Essay Example According to the research findings, it can, therefore, be said that production of soap opera ensures a major hit. If one is creative enough, slight tweaking in the presentation can even produce a sequel, giving the production company a lucrative material to invest on. It also requires a small budget, which will lessen the risk of low returns on investment. The cast is minimal, the setting inexpensive, and the costume is almost down to none. What needs to be played up here is the novelty of having a washing machine as one of the major characters. The plot will even allow a general patronage showing. The short screening time will also allow several runs within a day, maximizing the potential of bigger profit. Any actor and actress can play the parts. It does not require a big name of a star on the credits. What will be sold is the concept of presentation, not the actors and actresses, and definitely not the over-rated budget for modern effects. This play can be called a mixture of paro dy and romantic comedy. Parody employs sarcasm, stereotyping, and even mockery. There are several scenes in this play that utilizes parody. For example, when the Repairman tells the Maitre d’ of the start of his relationship with the washing machine, he mentioned â€Å"I tried to watch cartoons on it till I was five --- unsuccessfully, of course. But by then, I was hooked†. Similarly, when Repairman’s mother â€Å"great gleaming mother Flora† who is â€Å"a perfect 50s housewife carrying a basket of dirty laundry† enters the scene. Why is it that a perfect 50s housewife, all gleaming and with â€Å"fluoroscopic eyes† and who sees every filth and dirt in her son’s clothes, unable to inform his son that the washing machine is not a television? And definitely, the absurd idea of what is a perfect housewife in this play is humorous, making the mocking undertone realistic and hitting its mark. These are just a few samples, but the play is packed with these puns from start to finish.

SUMMARISING DATA.UNDERTAKING STATISTICAL TESTS. APPLIED MEDICAL Essay

SUMMARISING DATA.UNDERTAKING STATISTICAL TESTS. APPLIED MEDICAL STATISTICS - Essay Example categorized by 0 and 1 where 0 shows little or no pain and 1 shows severe or troublesome pain (Pain), Baby’s Birth weight (kg) (babyweight), Age entered in categories where 1 shows under 25, 2 shows 25-29, 3 shows 30-34, 4 shows 35 and over(agecat), the patient had any previous children or not recorded as 1 and 0 where 1 shows yes and 0 shows no (prevChildren), Depression level that was also scaled where the highest number show worse depression (depression) while the last variable that was not included but was needed to be calculated for section B is weight gained during pregnancy in kgs calculated by subtracting Weight1 from Weight2. All the statistics seem to lie within the normal range i.e., -2 to +2, thus it can be inferred that the given sample has somewhat symmetrical normal distribution. However, in the given case, the descriptive statistics for some variables seem meaningless including pain, idnum, agecat, prevChildren and depression and therefore not incorporated in t he table provided. Section B B1. Hypothesis Testing In order to explore the relationship between age and back pain, the following hypothesis was drawn. Ho: There exists no association between back pain and age of patient H1: There exists an association between back pain and age of patient Since both variables involved are ordinal, therefore in order to estimate a significant association between them, Chi-square test has been conducted on SPSS. The Chi squared test requires fulfilment of two assumptions. One of these require that both of the variables employed should be assessed at nominal level while the second requires that the independent variables should also be consisted of two or more independent groups (categorical). Both of these assumptions have been met by our sample data. It appears that the highest percent of patients having severe back pain fall in the 2nd category of age while most of the patients that experience little or no pain were of age category 1. Chi-Square Test s Value df Asymp. Sig. (2-sided) Pearson Chi-Square 8.657a 3 .034 Likelihood Ratio 8.758 3 .033 Linear-by-Linear Association 7.042 1 .008 N of Valid Cases 170 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 8.68. The observed value of Chi-squared statistic is 8.657 with 3 degrees of freedom. Since the cross tabulation table involved 2 rows and 4 columns, the Pearson seems to be the suitable chi-squared statistic. From the above table, the p-value is found to be equal to 0.034 which is less than 0.05 significance level. This P- value suggests that we can reject the null hypothesis indicating no association between back pain and agecategory. Therefore, it can be concluded that at 0.05 significance level, there exists a statistically significant relationship between back pain and age category of patient as stated under the alternate hypothesis. B2. Hypothesis Testing In order to explore the association between weight gained throughout pregnancy and the absence or occurrence of back pain, the following hypothesis is drawn. Ho: There