Individuals who consume large amounts of alcohol do not use the calories from this source as efficiently as calories from other sources. One study examined the effects of moderate alcohol consumption on body composition and the intake of other foods. Fifteen subjects participated in a crossover design where they either drank wine for the first 6 weeks and then abstained for the next 6 weeks or vice versa. During the period when they drank wine, the subjects, on average, lost 0.31 kilograms (kg) of body weight; when they did not drink wine, they lost an average of 1.13 kg. The standard deviation of the difference between the weight lost under these two conditions is 8.4 kg. During the wine period, they consumed an average of 2572 calories; with no wine, the mean consumption was 2557. The standard deviation of the difference was 206.

(a) Compute the differences in means and the standard errors for comparing body weight and caloric intake under the two experimental conditions. (To find the differences, subtract the relevant scores when the participants did not drink wine from the relevant scores when they did drink wine. Round your standard errors to three decimal places.)

(b) A report of the study indicated that there were no significant differences in these two outcome measures. Verify this result for each measure, giving the test statistic, degrees of freedom, and the P-value. (Use

α = 0.10.

Round your answers for t to three decimal places, and round your P-values to four decimal places.)

State your conclusion for body weight.

a) Reject the null hypothesis. There is significant evidence of a difference in body weight.

b) Fail to reject the null hypothesis. There is not significant evidence of a difference in body weight.    

c) Reject the null hypothesis. There is not significant evidence of a difference in body weight.

d) Fail to reject the null hypothesis. There is significant evidence of a difference in body weight.

State your conclusion for caloric intake.

a) Fail to reject the null hypothesis. There is not significant evidence of a difference in caloric intake.

b)Reject the null hypothesis. There is significant evidence of a difference in caloric intake.    

c) Reject the null hypothesis. There is not significant evidence of a difference in caloric intake.

d) Fail to reject the null hypothesis. There is significant evidence of a difference in caloric intake.

(c) One concern with studies such as this, with a small number of subjects, is that there may not be sufficient power to detect differences that are potentially important. Address this question by computing 95% confidence intervals for the two measures and discuss the information provided by the intervals. (Round your answers to three decimal places.)

weight ( kg, kg)

caloric intake ( calories, calories)

Discussion:

(d) Here are some other characteristics of the study. The study periods lasted for 6 weeks. All subjects were males between the ages of 21 and 50 years who weighed between 68 and 91 kg. They were all from the same city. During the wine period, subjects were told to consume two 135-milliliter (ml) servings of red wine per day and no other alcohol. The entire 6-week supply was given to each subject at the beginning of the period. During the other period, subjects were instructed to refrain from any use of alcohol. All subjects reported that they complied with these instructions except for three subjects, who said that they drank no more than three to four 12-ounce bottles of beer during the no-alcohol period. Discuss how these factors could influence the interpretation of the results.

The average starting salary of students who graduated from colleges of Business in 2009 was $48,800. A sample of 100 graduates of 2010 showed an average starting salary of $50,000. Assume the standard deviation of the population is known to be $7000. We want to determine whether or not there has been a significant increase in the starting salaries.

Stacy is a newly hired RN who recently graduated from a BSN program. She is in the process of being oriented or “on boarded” to the hospital. In today’s session, Stacy is going to be introduced to Accu-Chek Inform II system. She has never used this system to obtain blood glucose levels on patients. Using the Foundation of Knowledge Model, (page 11 in textbook), explain how Stacy will be able to become proficient in the new system.

Use the figure to the right, which shows the percentages of adults from several countries who favor building new nuclear power plants in their country.

The results of the survey in which 1001 adults from Country A, 1025 adults from Country B, 1012 adults from country C, 1018 adults from Country D, and 1010 adults from country E were asked whether national identity is strongly tied to birthplace.

Country a: 36%

County b: 22%

Country c: 28%

Country d: 45%

Country e: 11%

1) The 99% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

2) The 99% confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

3) The 99% confidence interval for the proportion of adults from Country C who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

4) The 99% confidence interval for the proportion of adults from Country D who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

5) The 99% confidence interval for the proportion of adults from Country E who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

Use the figure to the right, which shows the percentages of adults from several countries who favor building new nuclear power plants in their country. The results of the survey in which 1001 adults from Country A, 1025 adults from Country B, 1012 adults from country C, 1018 adults from Country D, and 1010 adults from country E were asked whether national identity is strongly tied to birthplace.

Country a: 36%

County b: 22%

Country c: 28%

Country d: 45%

Country e: 11%

1) The 99% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

2) The 99% confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

3) The 99% confidence interval for the proportion of adults from Country C who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

4) The 99% confidence interval for the proportion of adults from Country D who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

5) The 99% confidence interval for the proportion of adults from Country E who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.

The video for the week comes from a fellow who shared his life situation and how he turned "nothing into something" We can make the content that every entrepreneur essentially does the same. In a capitalist economy such as ours, we have new products come into the marketplace on a routine basis. That works for the consumer as they benefit from competing sellers which often results in high quality at a better price. The negatives are that it may give the consumer too many choices and as new things come into the marketplace. old items get ignored or pushed out all together.. When video recordings were coming about, the V\Beta company developed its Betamax machine. It was pretty much based on the Hollywood video camera recording machines with huge spools of tape on top to be looped through the machine to be played back. Sony decided that the format was too cumbersome and as a result, they created a product based on the audio cassette wherein the tape would be housed in a single unit that could be plugged into a machine for playback. The VHS system was enjoyed by the consumers more than the Beta system thus pushing Betanax out of the marketplace.

DISUSSION QUESTION:: As entrepreneurs create and bring new items/products to market, should there ever be a restriction on what is allowed to come to market other than regulated things such as air travel, prescription drugs. etc...Why? Why not? discuss in detail.

What is an I-health record and who would benefit from it?

Course: Information Technology for the Health Professions   

Consider the following data from a factorial-design experiment. The DV was “% of participants who offered help to a stranger in distress.”

1.What is the design of this study (e.g., 2 × 2, 2 × 3, etc.)?

2.List the independent variables of this study, and list the levels of each.

3.Sketch a graph of the results of the study. Fill in the names and levels of the IVs.

4.Main effects

-On the average, how does the number of bystanders affect helping?

-On the average, how does the gender of the stranger in need affect helping?

5.Do the graphed data suggest the presence of an interaction effect? If so, describe it.

Who are the illegal miners in South Africa? They are often illegal immigrants, largely from Zimbabwe, Mozambique, Lesotho or other central and southern African nations that come to South Africa in search of striking it rich, or at the very least, making a decent living. In South Africa, the illegal miners are often referred to as the Zama Zamas, a term that means “trying your luck”. These immigrants come to South Africa to earn a living with the hopes of remitting earnings back to their families in their respective homelands.Some illegal miners are South Africans who view illegal mining as a dangerous, albeit potentially remunerative activity. Some of the South African illegal miners can be described as “legal miners by day, yet illegal by night.” In other words, they might be gainfully employed by a mining firm and work legitimately for the company during the day shift, but re-enter the mine when evening falls to bolster their income. These individuals are particularly useful to a group of illegal miners given their familiarity with the mine and its risks. It is also quite possible that the South African illegal miners are unemployed mineworkers that were previously laid off by the mining companies when they were forced to retrench as a result of increasing global competitive pressures. Alternatively, illegal mineworkers may simply be young, black South Africans (without any previous mining experience) seeking a living in a nation that has struggled to reach its potential in the post-apartheid era and where one out of four South Africans is unemployed.Regardless of the nationality or the motivations that landed the illegal miners in this role, one thing is certain: it is not an easy life. Illegal miners may break into the very mines they work in by day, or often work in abandoned or disused mine shafts. (Disused mine shafts are mines that legitimate mining companies are in the process of closing down because they are no longer economically viable, but where the firms are awaiting final permits issued by the government to “officially” close the mine. Mining companies complain that all too frequently, the government-issued permit is delayed for months, thus exacerbating the illegal mining problem.) The miners often align themselves with a group of miners united in their illegal search of striking it rich. There is power in numbers. Being part of a group offers protection from rival factions of illegal mine workers, and fosters some level of camaraderie as the freelance miners ‘watch over’ one another. Since illegal miners are typically not employees of any business, nor members of any union and often times, not even citizens of South Africa, it can be said, that if it wasn’t for these informal groups, the miners would have no one else with even an ounce of their interests in mind. The groups generally work for a leader (a “kingpin”) who organizes runners to bring food and drinks to them, while the “miners” stay underground, some times for days – and even months - at a time. Illegal miners often run the risk of falling prey to other serious crimes. Illegal miners’ lives have been threatened - and lost - when they have refused to relinquish the deftly collected gold particles in their possession to thieves. Deaths, however, often go unreported, and as a result, there is no way of knowing how many illegal miners lose their lives each year. Only when there is a more visible event – such as a fire that went out of control in an abandoned mineshaft in 2009, killing 76 people, is a light shed on the plight and the working conditions of these workers.

**Word limit 2000-3000 words**

A total of 5101 people who worked at a chemical factory were followed from 1950 to 1990 and monitored for kidney cancer. Of 3500 workers working with solvents, 17 develop kidney cancer. Of 1601 of the workers, which are not exposed to solvents, 8 develop kidney cancer. Is there an association between exposure to solvent use and kidney cancer?