Random variable

soil and density as well as the height vs. soil and density. The dependent variables were mass and height, while the independent variables were soil type and planting density. ANOVA is a test statistic that compares the means of different samples and can determine if at least one of the samples has a mean that is significantly different from the others. However…

considered a good estimate for predicting subsequent data points. . For the retention rate (RR %), the mean is 57.41 while it is 41.76 for GR%, the dependent variable. The minimum and maximum are basically the least and highest observed value. For the retention rate (RR %) it is 4 and 100 respectively, while it is 25 and 61 for the dependent variable (GR %). Both can be used to identify any possible outliers or a data entry error. By comparing minimum and maximum, one can assess the spread of…

Hypothesis is, if the concentration of Gibberellic acid available to the seed increased, then the time for the seed to germinate would decrease. The independent variable was the concentration of Gibberellic acid used. The dependant variable was the amount of seeds that had germinated. Controlled variables were, the amount of seeds in each bag, the amount of solution used in each bag, the type of seeds used, and the amount of sunlight reaching the seeds. First the Radish seeds were…

When asked to agree or disagree with the primary statement of this clinical study, “Kids tend to get hyperactive after they’ve eaten lots of sugar,” I could not help but whole heartedly agree. As a summer-long camp counselor, an older sister to two, an early childhood education major, and as a former kid, I can honestly say that sugar does and (still can for me) induce a sense of hyperactivity. Sugar causes a rapid rise in blood sugar, therefore causing an intense increase in activity levels.…

will be able to contract it or pass it on. Variables Independent variable: immunity rate Dependent variable: number of people with the disease Materials: White paper cups water 1 cup of NaOH food coloring phenolphthalein indicator Procedure: Step 1: Obtain a cup. One person, unknown to everyone except the teacher, will have a cup of NaOH, the “disease.” All others will have water in their cups. Step 2: Make a point of contact with someone at random. One…

With unprecedented increasing the density of automobile vehicles all over the globe, automobile exhaust related air pollution have become a major health hazard. Inhalation of fuel vapor along with dust may lead to significant impairment of lung and other body functions. Traffic police personnel, due to their continuous and prolonged exposure are likely to be the worst affected group in this regard. Duration of exposure, aging, concurrent smoking may influence the pulmonary function in these…

questions. The same questions are asked for every country so statisticians can compare the data in each country every year. One variable in the survey is the way the population is interviewed. If telephone coverage can portray 80% or more of the population, telephone surveys are conducted, which only take about half an hour. To make sure has no bias, they use a random-digit-dial,…

occurring variables to find a relationship between them. The operational definition of the breakfast is a meal made of eggs, bread served with a fruit juice. The academic performance is defined as how well the students will do on the test and will be measuring…

clear Hypothesis as to what the two students were studying. Simply having an opinion and asking a few questions to twenty-one random students will not give you sufficient amounts of data. Therefore, the first thing that raises suspicion is was the twenty-one students. Were students of the Psychology 101 class or previously attended? If the two students were just asking random students the data is not relevant. The two students should have asked students that had been or were attending the…

Theoretical Framework The Proportional Odds Model A binary logistic regression model estimates the odds and the probability of experiencing an event for the dichotomous outcome variable on a set of predictors. The logistic regression model is defined as: ln(Y′) = logit [π(x)] = ln = α + β1X1 + β2X2 + …+ βpXp. (1) where logit [π(x)] is the log odds of success, and the odds is a ratio between the probability of having an event and the probability of not having that event.…