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Another significance of random sampling is that it plays as a representative of population of the study. The unbiased rule in simple random sampling makes it a vital method of drawing a conclusion from the study results, which is usually the main goal of a research. Moreover, this sampling technique helps to make generalization of a particular population from the results obtained.
While using random sampling technique, it is always imperative to have a complete list of the study participants so that the researcher can make a sample from. However, this is often difficult to perform while dealing with a large population since the list must be complete and up to date, a condition that is difficult to meet. Random sample is not an appropriate technique to use while dealing with a very small sample size because the margin of error is usually wide, leading to a wrong conclusion (Medhi 2012).The above problems can be overcome through using an average sample size of the population since it will limit the margin error incurred during random
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If an initial drop is 150 feet, than I would expect duration of the rides about 2 minutes and 7 seconds. Therefore, advertise that a 2-minute ride with a 150-foot initial drop is short by about 7 seconds. This is called
The study chosen was the Williams et. al. (1998) study wherein the researchers attempted to evaluate the extent to which patient literacy was related to their knowledge of asthma and effective use of the
In deed, my grasp of the content taught fascinated me.
Overall, the course was very interesting. I found it motivating using the statistics disc to analyze data. My favorites were the MSL assignments, hypothesis testing, descriptive
lawed findings resulted to unscheduled drop in patients every day and corresponding occurrence of no-shows thus compromising the prevailing list that were mainly based on the patients scheduled on the past days.
Print material is more credible than internet material because
The effect of income is not clear, given that higher income does not guarantee higher life expectancy and vice versa.
In a nutshell, income slightly influences life expectancy, but might not be as a good predictor due to the
The mode, for example, is suitable for describing data on a nominal scale while for ordinal data; either the mode or the median should be used. The mean is however more suitable for variables on a ratio or interval scale (Hanna and
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