Statistics Elements Essay

Document Type:Research Paper

Subject Area:Statistics

Document 1

All these elements are discussed below individually on how they are applied in statistics. Descriptive Statistics. This is a major discipline in Statistics as a subject. It comprises mainly the graphing and measures of central tendency. The mode, median, mean and standard deviation are key elements of measures of central tendency. It is difficult to calculate data that is unavailable (Lowry, 2014). Therefore inferential statistics involves the gathering of data from the field using methods such as questionnaires and interviews by the researchers. Inferential statistics uses random selection and probability to come up with data required for the study. In most cases, descriptive statistics and inferential statistics work collectively. For instance, a researcher may want to collect data from a particular state to determine who smokes more between married couples and the singles.

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They are of significance to the researchers as they keep track of the area of analysis without being irrelevant. For a hypothesis to be more varied it ought to be simple, accurate, and easy to explain, precise and be related to the area of study (Lowry, 2014). The two forms of hypothesis are H0 (null hypothesis) and H1 (alternative hypothesis). H0 is frequently stated in a negative impression - ideas that are to be rejected when the analysis comes to a conclusion. On the other hand, an alternative hypothesis is the positive impression of the researchers that they have in mind. male/female and smoker/non-smoker. Ordinal data is also categorical data that is ranked and order is crucial, this includes a score of grades (Triola, 2006).

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The third type of data is ratio data. It has all the qualities of the interval data with the addition of natural zero criteria Lastly, in interval data, the order is also important but has no natural zero criteria e. g. In this case, the data analyst keeps reminding himself what is to compare and therefore keeping in track their question (Lowry, 2014). Evaluating statistical results. Here the researcher has performed all the analyses, and the results are clearly scrutinized to give the exact image of the data being investigated before writing a report on the findings. Accurate analyzing of descriptive statistics elements and performing unbiased inferential statistics leads to a proper way of analyzing statistical results (Triola, 2006). In this section, all the results of the analysis are investigated against the aims of the study in order to ensure accurate interpretations are obtained.

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