Statistics Essay -- Data Analysis, Frequency Distribution

Statistics are necessary for scientific investigate beca enforce they allow the researchers to analyze empirical entropy needed to interpret the findings and head conclusions based on the results of the research. According to Portney and Watkins (2009), all studies require a translation of subjects and responses that are obtained through measuring central tendency, so all studies use descriptive statistics to present an subdue use of statistical tests and the validity of selective information interpretation. Although descriptive statistics do not allow general conclusions and allow exactly limited interpretations, they are useful for understanding the study sample and establishing an appropriate framework for the further analysis in the study. Further analysis victimisation appropriate statistical methods allows the researchers to establish correlations between independent and dependent variables, see possible outcomes, and identify areas of potential study in the future acc urately. Statistics is measurable for researchers because it allows them to investigate and interpret the data more accurately, and researchers will notice patterns in the data that would be overlooked otherwise and result in wide of the mark and possibly subjective conclusions (Portney & Watkins, 2009).Frequency distri onlyion is a method apply in descriptive statistics to arrange the delineate of one or triple variables in a sample, so it will summarize the distribution of values in a sample. Frequency distribution is the most basic and oftentimes used method in statistics because it creates organized tables of data which can be used later to calculate averages or measure variability. The organized data frequency distribution provides continuous data that is easier to work with than raw data obtai... ...loser to the population mean and the plot would display a normal make out because a sampling distribution always forms a normal swerve (Portney & Watkins, 2009). When the frequency distribution graph shows a normal curve, it is possible to determine its variability and estimate the standard error of the mean in compliance with the sample data. Unlike chance, an estimate of the population distribution allows researchers to establish the probability of selecting a sample with a predictable mean. Although the sampling distribution for predicting angiotensin converting enzyme outcomes is not applicable in reality, sample data can be used to draw inferences about the entire population from one sample, but it is never used to measure variance directly.However, sample data finds applications in several researches that require estimating unknown population parameters (Portney & Watkins, 2009)