Essay 1. In this essay I will the experiment that a group of researchers conducted to determine which vaccine is more effective for preventing getting the flu. There were two types tested: a shot and a nasal spray. The numbers are as follows: 1000 participants were selected at random with 500 people getting the shot and 500 the nasal spray. Of the 500 people were treated with the shot, 80 developed the flu and 420 did not. People who were treated with the nasal spray, 120 people developed the flu and 380 did not. Level of significance was set at .05. Proportion of people who were treated with the shot who developed the flu = .16, and the proportion of the people who were treated with the nasal spray was .24. The calculated p value = .0008. …show more content…
Since r = 0.75 it can be simplified as r2 which results in an amount of 0.56. IQ scores/percentage made of 56% of the testing factors. The other 44% could have been various other issues/variables/factors that students are affected by. Issues like social settings, study time, personal home status, parenting ect. The correlation here is simple. We can surmise that as an individual’s IQ rises so to should the GPA of that specific individual. Correlation only displays the relationship between the data. However even when we use correlation to calculate values or difference scores, the result is the same, and doesn’t measure the outcome. If want to determine causation/connection it would be by an amount both IQ and GPA increased. This would make the case that correlation is not applicable to predict …show more content…
7.3 7.6 8.1 8.2 8.5 9.2 9.3 9.5 9.5 15.2 Range: 7.9 Sum: 92.4 Mean: 9.24 Median: 8.85 Mode: 9.5 Standard Deviation: 2.237 Skewness: 1.955 Kurtosis: 5.706 There exists difference within the groupings because every variable including but not limited to Kurtosis, skewness, count, minimum, and maximum have different values. Only the second group possesses an outlier as the response time is escalated for the group. New Data Doubled: Group 1: 2.2 2.5 2.7 2.9 3.1 3.5 4.1 4.3 4.7 4.8 2.2 2.5 2.7 2.9 3.1 3.5 4.1 4.3 4.7 4.8 Range: 2.6 Sum: 69.6 Mean: 3.48 Median: 3.3 Mode: 2.2, 4.8 Standard Deviation: 0.9163 Skewness: 0.1563 Kurtosis: 1.488 Group 2: Range: 7.9 Sum: 184.8 Mean: 9.24 Median: 8.85 Mode: 9.5 Standard Deviation: 2.177 Skewness: 2.009 Kurtosis: 6.023 Once I doubled my sample data my entire amount of values change. In group one I still did not have an accurate mode, where I did in group 2. When my sample was increased the data gained traction because I reduced my minimum variance and standard
Within the target site of the experiment, researchers wanted to answer their hypothesis; hypothesis was that increased police
For 8 weeks of vacation work I have been looking at preparing and characterizing nanoparticulate systems to encapsulate the antimicrobial drug mupirocin. Specifically polymeric nanoparticles and liposomes were investigated.
Identify the hypothesis (testable question) that the study was trying to answer and describe the methods of research used in each study.
The EB’s case study said the female patient is 50 years old with symptoms of fever, chills, congestion, three weeks of coughing, shortness of breath when walking. The study implies that the patient is now seeking medical advice due to vital signs recording and the noting of decreased breath sounds and wheezing. She denies smoking and not taking any chronic medication.
It talks about many different topics this affects. For poverty, it concludes to say that people that have a low IQ most likely live in poverty as it is a strong indicator. It says that low IQ drastically increases the chance of dropping out of high school, and further decreases said person to ever achieve getting a college degree. Low IQ is also associated with people that are unemployed, injured often, or “idle” to which they describe to mean removed themselves from the workforce. It also describes that families with lower IQ have high rates of divorce, lower marriage rates, and higher illegitimate births. Plus the familes children correlates with having low birth weight babies, poor motor skills plus social development, and possible behavior problems. Another one it includes is low IQ correlates with welfare dependency, increased criminal behavior, and people with low IQ are less likely to vote and care less about
1. Give some examples of how the results of a study might be significant statistically yet unimportant educationally. Could the reverse be true?
The overall average of the control Daphnia’s heart rate is 249.38 bpm. 0.01% caffeine’s average is 327.93 bpm, and the caffeine at 0.005% has an average of 268.90 bpm, both making the heart rate speed up. Ethanol had the opposite affect, 0.01% ethanol’s average heart rate for this experiment is 159.58 bpm and 0.005% ethanol had an average of 183.4 bpm. Caffeine has a positive percent change while ethanol has a negative percent change in the data chart. The percent change for 0.01% caffeine is 31.50%change, for 0.005% of caffeine it is 7.83% change and for ethanol 0.01% it is 36.01% change while 0.005% ethanol has a 26.47% change. The standard deviation for the treatments all relatively close. Caffeine 0.01% had a standard deviation of 49.77, 0.005% caffeine’s standard deviation is 58.95. The standard deviation for 0.01% ethanol is 54.19, ethanol 0.005 had a standard deviation of 49.47, and the control groups is 33.31. The p-tests show if and how significant the data
Going into details of the article, I realized that the necessary information needed to evaluate the experimental procedures were not included. However, when conducting an experiment, the independent and dependent variable are to be studied before giving a final conclusion.
In this case, clinical prefers that we only issue one query to get our point across because we are just verifying if the data is correct.
Rhinovirus - The Common Cold Introduction: Rhinovirus, pictured above, is best known as the common cold. It is a member of the picornaviridae family along with more virulent viruses such as polio and hepatitis A. The viruses of this family are characterized as small (20-30nm genome) positive polarity RNA viruses consisting of one genome segment and a nonenveloped capsid. Unlike the more lethal relatives, Rhinovirus is designed to attack a host numerous times during their lifetime. It is the perfect pathogen.
The influenza pandemic of 1918-1919 killed more people than the Great War, known today as World War I (WWI), at somewhere between twenty and forty million people. (1) Influenza is a virus that appeared in 1918 and caused a pandemic. It made an enormous impact that is still significant to the world today. It has pushed scientists to make advancements in the medicine and vaccination industry that continue to grow each and every day. Influenza may be a horrible thing, but without it we wouldn’t be where we are today.
In the US and Canada it is estimated that 5.7 million bats have died because of White nose syndrome (wisconbio,4). Bats are a very helpful animal in our area, but sadly they are being wiped out. Bats in Wisconsin need to be protected or they could eventually go extinct.
The Flu is the common name influenza which is a virus that attacks the respiratory system. The flu virus releases its genetic information into the cells nucleus to replicate itself. When the cell dies, those copies are released and they affect other cells throughout the rest of the body. With that happening the virus weakens the immune system. When your sick with the flu, your body builds up a defense by making antibodies against it. The flu virus spreads through air when a person coughs, sneezes, or speaks.
The data set used for this assignment was the grades.sav data file. The variables used were gender, GPA, total, and final. GPA and final were used in the histogram scales, along with skewness, kurtosis values, and scatter plot. This assignment included a sample size of (N) 105.
In 1918-19 approximately 50 million deaths were a detriment of the Spanish H1N1 virus pandemic; a respiratory virus. According to the World Health Organization, the second Influenza A H1N1 pandemic in 2009 spread to more than 200 countries causing more than 18 000 deaths. Before the World Health Organization had announced the official end of the pandemic in August 2010, in July 2009 the World Health Organization sent out a phase 6 warning that H1N1 could soon be a global pandemic. It is important to recognize that the 2 different outbreaks had different A/H1N1strains effecting the world population; this suggests A/H1N1has a high ability for mutation, severely complicating the human body’s natural immune mechanism of antigenic drift. (Qi-Shi Du et al., 2010)