A report described teens' attitudes about traditional media, such as TV, movies, and newspapers. In a representative sample of American teenage girls, 42% said newspapers were boring. In a representative sample of American teenage boys, 45% said newspapers were boring. Sample sizes were not given in the report.

(a) Suppose that the percentages reported had been based on a sample of 50 girls and 60 boys. Is there convincing evidence that the proportion of those who think that newspapers are boring is different for teenage girls and boys? Carry out a hypothesis test using

α = 0.05.

(Use a statistical computer package to calculate the P-value. Use p_girls − p_boys. Round your test statistic to two decimal places and your P-value to four decimal places.)

State your conclusion.

We fail to reject H₀. We have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

We fail to reject H₀. We do not have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.    

We reject H₀. We have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

We reject H₀. We do not have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

(b) Suppose that the percentages reported had been based on a sample of 2050 girls and 2800 boys. Is there convincing evidence that the proportion of those who think that newspapers are boring is different for teenage girls and boys? Carry out a hypothesis test using

α = 0.05.

(Use a statistical computer package to calculate the P-value. Use μ_girls − μ_boys. Round your test statistic to two decimal places and your P-value to four decimal places.)

State your conclusion.

We fail to reject H₀. We have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

We fail to reject H₀. We do not have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.   

We reject H₀. We do not have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

We reject H₀. We have convincing evidence that the proportion of girls who say that newspapers are boring is different from the proportion of boys who say that newspapers are boring.

(c) Explain why the hypothesis tests in parts (a) and (b) resulted in different conclusions.

You are much less likely to get a difference in sample proportions as large as the one given when the samples are very large.

You are much less likely to get a difference in sample proportions as large as the one given when the number of boys vs. girls sampled are far apart.   

You are much less likely to get a difference in sample proportions as large as the one given when the number of boys vs. girls sampled are close together.

You are much less likely to get a difference in sample proportions as large as the one given when the samples are very small.

You are given the following information concerning the share price and returns for Cubic Technologies Ltd:

1.1Determine and describe the trading behaviour of an investor who follows the Dow Theory which recommends investing in securities when the market begins to rise and selling securities when the market begins to fall. What return would this strategy make over the 12 day period above? (13 %)

1.2 Calculate the return earned by an investor who uses a Buy-and-Hold portfolio starting at the same time as the Dow Theory investor above. (3 %)

1.3 Comment briefly on the performance of the Dow Theory against a Buyand-Hold strategy in this particular case as well as in general. Advise your client on the suitability of the two strategies. (5 %)

1.4 Discuss the techniques of moving averages and filter rules as they are used by technical analysts. Include in your answer a discussion of technical analysis for an investor wishing to invest in emerging markets.

How does the role of the community/public health nurse differ from other nursing roles when educating clients (individual vs. population level health education) Suggest specific strategies that the community/public health nurse will use to address population health education issues.

Book Community/Public Health Nursing: Promoting the Health of Populations, 6th edition.

In general, if p is the number of predictor variables and k is the number of groups for the outcome variable in a DA, how many different discriminant functions can be obtained to differentiate among
groups? (This question assumes that the X predictor variables have a determinant that is nonzero; that is, no individual Xi predictor variable can be perfectly predicted from scores on one or more other X
predictor variables.)

Discuss with your classmates some possible economic effects of the healthcare legislation (original Affordable Care Act) passed by Congress. Some of its major provisions are listed and discussed in your textbook. Focus on the major provisions of the act, understanding that since the textbook was published, Congress has abolished the individual mandate. This is not to be a gripe session or an opinion session, but an evaluation of the provisions from an economics perspective.

9.) Write a MATLAB script that will read the Pressure and Temperature columns from the provided Excel file. Use a loop to calculate the linear best fit line for the data. You may only use the built-in functions sum, size, and length. Plot both the individual data points (red) and the fit line (blue) on the same graph. Include a title and axes labels.

You are a medical student on placement at Freeman Hospital. You are on placement with another first year student from the same university called James. James is working the same shifts as you.

You have been working the same morning shift as James for the last three (3) days. At morning tea James tells you that he hates his placement, is learning nothing and has complained on the student Twitter page.

You check the Twitter page and see the following post from James:

Warning! All nursing students

On WPL at Freeman Hospital. The medical ward is disgraceful – doing nothing but making beds and wiping old peoples’ backsides. To top it all off, for all those Melbourne students, am working with “you know who” – L.S is unsafe and wonders around all day looking stupid.

Looked after John aged 89 yesterday and had to change his bed 3 times. His daughter gave me $50 at the end of shift – bonus!!

You are horrified to see what James has written about the ward, the patients and also as your initials feature in the post as the “unsafe” fellow student. You reflect on James's behaviour in light of the Code of conduct and Code of ethics……

Question 1 (800 words maximum)

James's behaviour does not reflect the Nursing and Midwifery Board of Australia’s (NMBA) Code of conduct for nurses (2018). How is James's behaviour in breach of the NMBA Code of conduct for nurses (2018) ?

Question 2 (400 words maximum)

James's behaviour is also not reflective of the International Council of Nurses (ICN) Code of ethics for nurses (2012). How is James's behaviour in breach of the ICN Code of ethics for nurses (2012)?

Some years ago a small university did an SRS survey of students that graduated 20 years previously to find out their current income. From that data it found the income graduates had 20 years after they graduated varied between degrees. Because the number of students graduating 20 years ago varies by degree it was decided a stratified sample should be done this year to improve the precision of the analysis. The five degrees are listed below with the number of students who graduated in 1999 along with the estimated variance of the responses for each strata based on the last survey’s responses.

This year the investigators can afford to survey 40 graduates from 1999.

1. Calculate the sample size for each strata and sample error at 95% confidence level if the number sampled for each strata is the same.
2. Use proportional allocation to calculate the number to be sampled in each strata. Calculate the sample error at the 95% confidence level.
3. Using Neyman allocation (the cost to sample a unit in any strata is the same) to calculate the number to be sampled in each strata. Calculate the sample error at the 95% confidence level.
4. Explain why the results for the sample error in a), b) and c) are different.
5. Normally the variance of the variable y we are measuring is not known so we cannot stratify using it. Instead we often use the variance for an auxiliary variable which is known for all units. If there were several possible auxiliary variables available explain how you would choose which one to use.

Please answer all questions